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M. Tahar Kechadi
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- affiliation: University College Dublin, School Of Computer Science, Ireland
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2020 – today
- 2024
- [j67]Cheng Xu
, Mohand Tahar Kechadi
:
An Enhanced Fake News Detection System With Fuzzy Deep Learning. IEEE Access 12: 88006-88021 (2024) - [j66]Yogesh Bansal
, David Lillis
, M. Tahar Kechadi
:
Correction to: A neural meta-model for predicting winter wheat crop yield. Mach. Learn. 113(5): 3353 (2024) - [j65]Yogesh Bansal
, David Lillis
, M. Tahar Kechadi
:
A neural meta model for predicting winter wheat crop yield. Mach. Learn. 113(6): 3771-3788 (2024) - [c183]Sandro Bimonte
, Gianni Bellocchi
, François Pinet
, Guillaume Charrier
, Dimitris Sacharidis
, Mahmoud Attia Sakr
, Ronan Tournier
, Gentian Jakllari
, Gérard Chalhoub
, M. Tahar Kechadi
, Boualem Benatallah
, Francesco Marinello
, Roberto Oberti
, Jérôme Bindelle, Ginta Majore
, Piotr Skrzypczynski
:
Technological and Research Challenges in Data Engineering for Sustainable Agriculture. BiDEDE@SIGMOD 2024: 7:1-7:6 - [c182]Yunan Li
, Syeda Sana e Zainab
, Sahraoui Dhelim
, Mohand Tahar Kechadi
:
Weather Data and Agro-climate Indices - Comparative Study. ICMLC 2024: 1-7 - [c181]Yunan Li
, Sahraoui Dhelim
, Mohand Tahar Kechadi
:
Predicting Winter Wheat Emergence and Stem Elongation Time using CNN. ICMLC 2024: 153-160 - [e3]Mohamed Mosbah
, M. Tahar Kechadi
, Ladjel Bellatreche
, Faïez Gargouri
, Chirine Ghedira Guegan
, Hassan Badir
, Amin Beheshti
, Mohamed Mohsen Gammoudi:
Advances in Model and Data Engineering in the Digitalization Era - MEDI 2023 Short and Workshop Papers, Sousse, Tunisia, November 2-4, 2023, Proceedings. Communications in Computer and Information Science 2071, Springer 2024, ISBN 978-3-031-55728-6 [contents] - [e2]Mohamed Mosbah
, M. Tahar Kechadi
, Ladjel Bellatreche
, Faïez Gargouri
:
Model and Data Engineering - 12th International Conference, MEDI 2023, Sousse, Tunisia, November 2-4, 2023, Proceedings. Lecture Notes in Computer Science 14396, Springer 2024, ISBN 978-3-031-49332-4 [contents] - [i73]Amen Faridoon, M. Tahar Kechadi:
Healthcare Data Governance, Privacy, and Security - A Conceptual Framework. CoRR abs/2403.17648 (2024) - [i72]Cheng Xu, Shuhao Guan, Derek Greene, M. Tahar Kechadi:
Benchmark Data Contamination of Large Language Models: A Survey. CoRR abs/2406.04244 (2024) - 2023
- [j64]Sahraoui Dhelim
, Nyothiri Aung
, Mohand Tahar Kechadi
, Huansheng Ning
, Liming Chen
, Abderrahmane Lakas
:
Trust2Vec: Large-Scale IoT Trust Management System Based on Signed Network Embeddings. IEEE Internet Things J. 10(1): 553-562 (2023) - [j63]Nyothiri Aung
, Sahraoui Dhelim
, Liming Chen
, Abderrahmane Lakas
, Wenyin Zhang
, Huansheng Ning
, Souleyman Chaib
, Mohand Tahar Kechadi
:
VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(8): 8638-8649 (2023) - [c180]Mohammad Alamgir Hossain
, Mohammed Hassan Osman, Alfadil Ahmed Hamdan, Mohammed Eltahir Abdelhag, M. Tahar Kechadi
:
FERLP: Facial Emotion Recognition Based on Landmark Points using Artificial Intelligence and Machine Learning. ICCCNT 2023: 1-6 - [c179]Doan Thai Binh Phan
, Phuoc Vinh Linh Le
, Ngoc Hoang Luong
, M. Tahar Kechadi
, Hung Q. Ngo
:
Domain Adaptation in Nested Named Entity Recognition From Scientific Articles in Agriculture. SoICT 2023: 48-55 - [c178]Cheng Xu
, M. Tahar Kechadi
:
Fuzzy Deep Hybrid Network for Fake News Detection. SoICT 2023: 118-125 - [i71]Yogesh Bansal, David Lillis
, Mohand Tahar Kechadi
:
A Deep Learning Model for Heterogeneous Dataset Analysis - Application to Winter Wheat Crop Yield Prediction. CoRR abs/2306.11942 (2023) - [i70]Yogesh Bansal, David Lillis, Mohand Tahar Kechadi:
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning. CoRR abs/2306.11946 (2023) - [i69]Amen Faridoon, M. Tahar Kechadi:
Data Behind the Walls An Advanced Architecture for Data Privacy Management. CoRR abs/2307.06779 (2023) - [i68]Nyothiri Aung, M. Tahar Kechadi
, Liming Chen, Sahraoui Dhelim
:
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation. CoRR abs/2308.12761 (2023) - [i67]Usama Ikhlaq, M. Tahar Kechadi
:
Machine Learning-based Nutrient Application's Timeline Recommendation for Smart Agriculture: A Large-Scale Data Mining Approach. CoRR abs/2310.12052 (2023) - 2022
- [j62]Quoc Hung Ngo
, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Knowledge representation in digital agriculture: A step towards standardised model. Comput. Electron. Agric. 199: 107127 (2022) - [j61]Abdellah Akilal
, M. Tahar Kechadi
:
An improved forensic-by-design framework for cloud computing with systems engineering standard compliance. Digit. Investig. 40(Supplement): 301315 (2022) - [j60]Nabila Chergui, Mohand Tahar Kechadi
:
Data analytics for crop management: a big data view. J. Big Data 9(1): 123 (2022) - [c177]Yogesh Bansal, David Lillis
, M. Tahar Kechadi
:
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning. CSCI 2022: 206-212 - [c176]Amen Faridoon
, M. Tahar Kechadi
:
Data Behind the Walls - An Advanced Architecture for Data Privacy Management. CSCI 2022: 922-928 - [c175]Ranul Deelaka Thantilage
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Towards a Privacy, Secured and Distributed Clinical Data Warehouse Architecture. FDSE (CCIS Volume) 2022: 73-87 - [c174]Nyothiri Aung, M. Tahar Kechadi
, Tao Zhu
, Saber Zerdoumi, Tahar Guerbouz, Sahraoui Dhelim
:
Blockchain Application on the Internet of Vehicles (IoV). ICITE 2022: 586-591 - [c173]Quoc Hung Ngo, M. Tahar Kechadi
, Nhien-An Le-Khac
:
OAK4XAI: Model Towards Out-of-Box eXplainable Artificial Intelligence for Digital Agriculture. SGAI Conf. 2022: 238-251 - [i66]Sahraoui Dhelim, M. Tahar Kechadi
, Nyothiri Aung, Huansheng Ning, Liming Chen, Abderrahmane Lakas:
Trust2Vec: Large-Scale IoT Trust Management System based on Signed Network Embeddings. CoRR abs/2204.06988 (2022) - [i65]Sahraoui Dhelim, M. Tahar Kechadi
, Liming Chen, Nyothiri Aung, Huansheng Ning, Luigi Atzori:
Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing. CoRR abs/2205.02764 (2022) - [i64]Nyothiri Aung, M. Tahar Kechadi
, Sahraoui Dhelim, Tao Zhu
, Aymen Dia Eddine Berini, Tahar Guerbouz:
Blockchain Application on the Internet of Vehicles (IoV). CoRR abs/2205.03832 (2022) - [i63]Quoc Hung Ngo, M. Tahar Kechadi
, Nhien-An Le-Khac:
Knowledge Representation in Digital Agriculture: A Step Towards Standardised Model. CoRR abs/2207.07740 (2022) - [i62]Quoc Hung Ngo, M. Tahar Kechadi
, Nhien-An Le-Khac:
OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence for Digital Agriculture. CoRR abs/2209.15104 (2022) - 2021
- [j59]Quoc Hung Ngo
, Mohand Tahar Kechadi
, Nhien-An Le-Khac
:
Domain Specific Entity Recognition With Semantic-Based Deep Learning Approach. IEEE Access 9: 152892-152902 (2021) - [j58]Vuong M. Ngo
, M. Tahar Kechadi
:
Electronic farming records - A framework for normalising agronomic knowledge discovery. Comput. Electron. Agric. 184: 106074 (2021) - [j57]Michael R. Jennings
, Colin Turner, Raymond R. Bond, Alan Kennedy, Ranul Deelaka Thantilage, Mohand Tahar Kechadi
, Nhien-An Le-Khac
, James McLaughlin
, Dewar D. Finlay:
Code-free cloud computing service to facilitate rapid biomedical digital signal processing and algorithm development. Comput. Methods Programs Biomed. 211: 106398 (2021) - [j56]Loris Belcastro
, M. Tahar Kechadi
, Fabrizio Marozzo
, Luca Pastore, Domenico Talia, Paolo Trunfio
:
Parallel extraction of Regions-of-Interest from social media data. Concurr. Comput. Pract. Exp. 33(8) (2021) - [j55]Dhai Eddine Salhi
, Abdelkamel Tari, Mohand Tahar Kechadi
:
Using E-Reputation for Sentiment Analysis: Twitter as a Case Study. Int. J. Cloud Appl. Comput. 11(2): 32-47 (2021) - [j54]Saad Fehis, Omar Nouali, Mohand Tahar Kechadi
:
Encryption key management as a trusted security as a service for cloud computing. Int. J. Secur. Networks 16(3): 150-162 (2021) - [j53]Dhai Eddine Salhi
, Abdelkamel Tari, Mohand Tahar Kechadi
:
Using Clustering for Forensics Analysis on Internet of Things. Int. J. Softw. Sci. Comput. Intell. 13(1): 56-71 (2021) - [j52]Dhai Eddine Salhi
, Abdelkamel Tari, Mohand Tahar Kechadi
:
Email Classification for Forensic Analysis by Information Gain Technique. Int. J. Softw. Sci. Comput. Intell. 13(4): 40-53 (2021) - [j51]Vuong M. Ngo
, Sven Helmer
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Structural textile pattern recognition and processing based on hypergraphs. Inf. Retr. J. 24(2): 137-173 (2021) - [j50]Saad Fehis
, Omar Nouali, M. Tahar Kechadi
:
Secure encryption key management as a SecaaS based on Chinese wall security policy. J. Inf. Secur. Appl. 63: 102975 (2021) - [j49]Arsalan Shahid
, Thien-An Ngoc Nguyen, M. Tahar Kechadi
:
Big Data Warehouse for Healthcare-Sensitive Data Applications. Sensors 21(7): 2353 (2021) - [c172]Abdellah Akilal, M. Tahar Kechadi
:
A Forensic-Ready Intelligent Transportation System. SmartCity360° 2021: 617-630 - [i61]Vuong M. Ngo, Sven Helmer, Nhien-An Le-Khac, M. Tahar Kechadi:
Structural Textile Pattern Recognition and Processing Based on Hypergraphs. CoRR abs/2103.11271 (2021) - 2020
- [j48]Ngoc Hong Tran
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Lightweight privacy-Preserving data classification. Comput. Secur. 97: 101835 (2020) - [j47]Wiebe Koerhuis, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Forensic analysis of privacy-oriented cryptocurrencies. Digit. Investig. 33: 200891 (2020) - [j46]Vuong M. Ngo
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Data warehouse and decision support on integrated crop big data. Int. J. Bus. Process. Integr. Manag. 10(1): 17-28 (2020) - [j45]Souhila Sadeg, Leila Hamdad, Hadjer Chettab, Karima Benatchba, Zineb Habbas, M. Tahar Kechadi
:
Feature selection based bee swarm meta-heuristic approach for combinatorial optimisation problems: a case-study on MaxSAT. Memetic Comput. 12(4): 283-298 (2020) - [c171]Tri Hong Nguyen
, Ngoc Tran, Lauri Lovén, Juha Partala, M. Tahar Kechadi
, Susanna Pirttikangas
:
Privacy-Aware Blockchain Innovation for 6G: Challenges and Opportunities. 6G SUMMIT 2020: 1-5 - [c170]Antonio Bevilacqua, Giovanni Ciampi, Rob Argent, Brian Caulfield, M. Tahar Kechadi
:
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting. AAAI 2020: 13229-13234 - [c169]Dhai Eddine Salhi, Abdelkamel Tari, M. Tahar Kechadi
:
Using Machine Learning for Heart Disease Prediction. CSA 2020: 70-81 - [c168]Christos Diou, Ioannis A. Sarafis, Vasileios Papapanagiotou, Leonidas Alagialoglou, Irini Lekka
, Dimitrios Filos
, Leandros Stefanopoulos
, Vasileios Kilintzis, Christos Maramis, Youla Karavidopoulou
, Nikolaos Maglaveras, Ioannis Ioakimidis
, Evangelia Charmandari, Penio Kassari, Athanasia Tragomalou, Monica Mars, Thien-An Ngoc Nguyen, M. Tahar Kechadi
, Shane O' Donnell, Gerardine Doyle, Sarah Browne, Grace O' Malley
, Rachel Heimeier, Katerina Riviou
, Evangelia Koukoula, Konstantinos Filis, Maria Hassapidou
, Ioannis Pagkalos, Daniel Ferri, Isabel Pérez, Anastasios Delopoulos:
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment. EMBC 2020: 5864-5867 - [c167]Quoc Hung Ngo
, M. Tahar Kechadi
, Nhien-An Le-Khac
:
OAK: Ontology-Based Knowledge Map Model for Digital Agriculture. FDSE 2020: 245-259 - [c166]Amen Faridoon, Mohand Tahar Kechadi
:
Data Privacy in Its Three Forms - A Systematic Review. FDSE (CCIS Volume) 2020: 425-433 - [c165]Vuong M. Ngo
, M. Tahar Kechadi
:
Crop Knowledge Discovery Based on Agricultural Big Data Integration. ICMLSC 2020: 46-50 - [c164]Nabila Chergui, M. Tahar Kechadi
, Michael McDonnell:
The Impact of Data Analytics in Digital Agriculture: A Review. OCTA 2020: 1-13 - [c163]Dalila Kessira, Mohand Tahar Kechadi
:
Multi-objective Clustering Algorithm with Parallel Games. OCTA 2020: 1-7 - [i60]Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Data Warehouse and Decision Support on Integrated Crop Big Data. CoRR abs/2003.04470 (2020) - [i59]Vuong M. Ngo, M. Tahar Kechadi:
Crop Knowledge Discovery Based on Agricultural Big Data Integration. CoRR abs/2003.05043 (2020) - [i58]Christos Diou, Ioannis A. Sarafis, Vassilis Papapanagiotou, Leonidas Alagialoglou, Irini Lekka, Dimitrios Filos, Leandros Stefanopoulos, Vasileios Kilintzis, Christos Maramis, Youla Karavidopoulou, Nicos Maglaveras, Ioannis Ioakimidis, Evangelia Charmandari
, Penio Kassari, Athanasia Tragomalou, Monica Mars, Thien-An Ngoc Nguyen, M. Tahar Kechadi, Shane O' Donnell, Gerardine Doyle, Sarah Browne, Grace O' Malley, Rachel Heimeier, Katerina Riviou, Evangelia Koukoula, Konstantinos Filis, Maria Hassapidou, Ioannis Pagkalos, Daniel Ferri, Isabel Pérez, Anastasios Delopoulos:
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment. CoRR abs/2005.02928 (2020) - [i57]Dalila Kessira, Mohand Tahar Kechadi:
Multi-objective Clustering Algorithm with Parallel Games. CoRR abs/2007.05119 (2020) - [i56]Quoc Hung Ngo, M. Tahar Kechadi, Nhien-An Le-Khac:
OAK: Ontology-Based Knowledge Map Model for Digital Agriculture. CoRR abs/2011.11442 (2020)
2010 – 2019
- 2019
- [j44]Fateh Boucenna, Omar Nouali, Samir Kechid
, M. Tahar Kechadi
:
Secure Inverted Index Based Search over Encrypted Cloud Data with User Access Rights Management. J. Comput. Sci. Technol. 34(1): 133-154 (2019) - [j43]Malika Bendechache
, Kamel Tari, M. Tahar Kechadi
:
Parallel and distributed clustering framework for big spatial data mining. Int. J. Parallel Emergent Distributed Syst. 34(6): 671-689 (2019) - [c162]Vuong M. Ngo
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Designing and Implementing Data Warehouse for Agricultural Big Data. BigData 2019: 1-17 - [c161]Duncan Wallace, M. Tahar Kechadi:
Outlier Detection in Health Record Free-Text using Deep Learning. EMBC 2019: 550-555 - [c160]Antonio Bevilacqua, Louise Brennan
, Rob Argent, Brian Caulfield, M. Tahar Kechadi
:
Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM. EMBC 2019: 574-579 - [c159]Syeda Sana e Zainab
, M. Tahar Kechadi
:
Sensitive and Private Data Analysis: A Systematic Review. ICFNDS 2019: 12:1-12:11 - [c158]Duncan Wallace
, M. Tahar Kechadi
:
Prediction of Frequent Out-Of-Hours' Medical Use. PKDD/ECML Workshops (1) 2019: 631-646 - [c157]Fadoua Rafii
, M. Tahar Kechadi
:
Collection of historical weather data: issues with missing values. SCA 2019: 8:1-8:8 - [c156]Quoc Hung Ngo
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Predicting Soil pH by Using Nearest Fields. SGAI Conf. 2019: 480-486 - [i55]Ilias K. Savvas, M. Tahar Kechadi:
Dynamic task scheduling in computing cluster environments. CoRR abs/1902.08040 (2019) - [i54]Yoan Chabot, Aurélie Bertaux, Christophe Nicolle, M. Tahar Kechadi:
A complete formalized knowledge representation model for advanced digital forensics timeline analysis. CoRR abs/1903.01396 (2019) - [i53]Lamine M. Aouad, Nhien-An Le-Khac, M. Tahar Kechadi:
Performance study of distributed Apriori-like frequent itemsets mining. CoRR abs/1903.03008 (2019) - [i52]Damir Kahvedzic, M. Tahar Kechadi:
DIALOG: A framework for modeling, analysis and reuse of digital forensic knowledge. CoRR abs/1903.03061 (2019) - [i51]Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Designing and Implementing Data Warehouse for Agricultural Big Data. CoRR abs/1905.12411 (2019) - [i50]Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Netowrks. CoRR abs/1906.01935 (2019) - [i49]Ngoc Hong Tran, Thien-An Nguyen-Ngoc, Nhien-An Le-Khac, M. Tahar Kechadi:
A Security-Aware Access Model for Data-Driven EHR System. CoRR abs/1908.10229 (2019) - [i48]M. Tahar Kechadi, Kok Seng Low, Gilles Goncalves:
Recurrent neural network approach for cyclic job shop scheduling problem. CoRR abs/1910.09437 (2019) - [i47]Nhien-An Le-Khac, Lamine M. Aouad, M. Tahar Kechadi:
Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining. CoRR abs/1910.10547 (2019) - [i46]Quoc Hung Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Predicting Soil pH by Using Nearest Fields. CoRR abs/1912.01303 (2019) - 2018
- [j42]Amine Barkat
, Mohand Tahar Kechadi
, Giacomo Verticale
, Ilario Filippini, Antonio Capone:
Green Approach for Joint Management of Geo-Distributed Data Centers and Interconnection Networks. J. Netw. Syst. Manag. 26(3): 723-754 (2018) - [j41]Nabila Chergui, M. Tahar Kechadi
, Salim Chikhi:
Scalability-aware mechanism based on workload prediction in ultra-peer networks. Peer-to-Peer Netw. Appl. 11(3): 431-449 (2018) - [c155]Antonio Bevilacqua, Bing Quan Huang, Rob Argent, Brian Caulfield, M. Tahar Kechadi
:
Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study. BSN 2018: 21-24 - [c154]Saad Alabdulsalam, Kevin Schaefer, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Internet of Things Forensics - Challenges and a Case Study. IFIP Int. Conf. Digital Forensics 2018: 35-48 - [c153]Quoc Hung Ngo
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Ontology Based Approach for Precision Agriculture. MIWAI 2018: 175-186 - [c152]Ayidh Alharbi, M. Tahar Kechadi
:
Short Paper: Application of Noisy Attacks on Image Steganography. NETYS 2018: 364-368 - [c151]Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi
:
Human Activity Recognition with Convolutional Neural Networks. ECML/PKDD (3) 2018: 541-552 - [i45]Saad Alabdulsalam, Kevin Schaefer, M. Tahar Kechadi, Nhien-An Le-Khac:
Internet of things forensics: Challenges and Case Study. CoRR abs/1801.10391 (2018) - [i44]Malika Bendechache, M. Tahar Kechadi:
Distributed Clustering Algorithm for Spatial Data Mining. CoRR abs/1802.00304 (2018) - [i43]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Hierarchical Aggregation Approach for Distributed clustering of spatial datasets. CoRR abs/1802.00688 (2018) - [i42]Yves Vandermeer, Nhien-An Le-Khac, Joe Carthy, M. Tahar Kechadi
:
Forensic Analysis of the exFAT artefacts. CoRR abs/1804.08653 (2018) - [i41]Vuong M. Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
An Efficient Data Warehouse for Crop Yield Prediction. CoRR abs/1807.00035 (2018) - [i40]Quoc Hung Ngo, Nhien-An Le-Khac, M. Tahar Kechadi:
Ontology based Approach for Precision Agriculture. CoRR abs/1811.06884 (2018) - [i39]Antonio Bevilacqua, Bing Quan Huang, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Automatic Classification of Knee Rehabilitation Exercises Using a Single Inertial Sensor: a Case Study. CoRR abs/1812.03880 (2018) - 2017
- [j40]Massinissa Saoudi, Farid Lalem, Ahcène Bounceur
, Reinhardt Euler, M. Tahar Kechadi
, Abdelkader Laouid
, Madani Bezoui
, Marc Sevaux:
D-LPCN: A distributed least polar-angle connected node algorithm for finding the boundary of a wireless sensor network. Ad Hoc Networks 56: 56-71 (2017) - [j39]Imen Heloulou, Mohammed Said Radjef
, Mohand Tahar Kechadi
:
Automatic multi-objective clustering based on game theory. Expert Syst. Appl. 67: 32-48 (2017) - [j38]Nabila Chergui, Salim Chikhi, M. Tahar Kechadi:
Semantic Grid resource discovery based on SKOS ontology. Int. J. Grid Util. Comput. 8(4): 269-281 (2017) - [j37]Imen Heloulou, Mohammed Said Radjef
, Mohand Tahar Kechadi
:
A multi-act sequential game-based multi-objective clustering approach for categorical data. Neurocomputing 267: 320-332 (2017) - [j36]Patrick Tobin, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Forensic Analysis of Virtual Hard Drives. J. Digit. Forensics Secur. Law 12(1): 47-58 (2017) - [j35]Farid Lalem, Ahcène Bounceur, Madani Bezoui
, Massinissa Saoudi, Reinhardt Euler, M. Tahar Kechadi
, Marc Sevaux:
LPCN: Least polar-angle connected node algorithm to find a polygon hull in a connected euclidean graph. J. Netw. Comput. Appl. 93: 38-50 (2017) - [c150]Malika Bendechache
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets. AusDM 2017: 38-56 - [c149]Sharifa Mohamed, Bing Quan Huang, M. Tahar Kechadi
:
Prediction of NB-UVB phototherapy treatment response of psoriasis patients using data mining. BIBM 2017: 1067-1071 - [c148]Ayidh Alharbi, M. Tahar Kechadi
:
A Steganography Technique for Images Based on Wavelet Transform. FDSE 2017: 273-281 - [c147]Thien-An Nguyen, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems. FDSE 2017: 335-350 - [c146]Sonia Ikken, Eric Renault, Amine Barkat, Abdelkamel Tari, M. Tahar Kechadi
:
Cost-Efficient Big Intermediate Data Placement in a Collaborative Cloud Storage Environment. HPCC/SmartCity/DSS 2017: 514-521 - [c145]Daniel Jacobs, Kim-Kwang Raymond Choo
, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Volkswagen Car Entertainment System Forensics. TrustCom/BigDataSE/ICESS 2017: 699-705 - [c144]Wybren van der Meer, Kim-Kwang Raymond Choo
, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Investigation and Automating Extraction of Thumbnails Produced by Image Viewers. TrustCom/BigDataSE/ICESS 2017: 1076-1081 - [i38]Nhien-An Le-Khac, M. Tahar Kechadi, Joe Carthy:
Admire framework: Distributed data mining on data grid platforms. CoRR abs/1703.09756 (2017) - [i37]Lamine M. Aouad, Nhien-An Le-Khac, M. Tahar Kechadi:
Grid-based Approaches for Distributed Data Mining Applications. CoRR abs/1703.09807 (2017) - [i36]Lamine M. Aouad, Nhien-An Le-Khac, M. Tahar Kechadi:
Variance-based Clustering Technique for Distributed Data Mining Applications. CoRR abs/1703.09823 (2017) - [i35]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Efficient Large Scale Clustering based on data partitioning. CoRR abs/1704.03421 (2017) - [i34]Nhien-An Le-Khac, Mark Roeloffs, M. Tahar Kechadi:
Forensic Analysis of TomTom Navigation Application. CoRR abs/1704.03524 (2017) - [i33]Van-Hung Cao, Khoi-Xuan Chu, Nhien-An Le-Khac, M. Tahar Kechadi, Debra F. Laefer, Linh Truong-Hong:
Toward a new approach for massive LiDAR data processing. CoRR abs/1704.03527 (2017) - [i32]Nhien-An Le-Khac, M. Tahar Kechadi, Bo Wu, Chongcheng Chen:
Feature Selection Parallel Technique for Remotely Sensed Imagery Classification. CoRR abs/1704.03530 (2017) - [i31]Nhien-An Le-Khac, Lamine M. Aouad, M. Tahar Kechadi:
Toward a Distributed Knowledge Discovery system for Grid systems. CoRR abs/1704.03538 (2017) - [i30]Nhien-An Le-Khac, Sammer Markos, M. Tahar Kechadi:
A Tree-based Approach for Detecting Redundant Business Rules in very Large Financial Datasets. CoRR abs/1704.04301 (2017) - [i29]Nhien-An Le-Khac, M. Tahar Kechadi:
On a Distributed Approach for Density-based Clustering. CoRR abs/1704.04302 (2017) - [i28]Wybren van der Meer, Kim-Kwang Raymond Choo, Nhien-An Le-Khac, M. Tahar Kechadi:
Investigation and Automating Extraction of Thumbnails Produced by Image viewers. CoRR abs/1708.09051 (2017) - [i27]Ronald In de Braekt, Nhien-An Le-Khac, Jason Farina, Mark Scanlon, M. Tahar Kechadi:
Increasing digital investigator availability through efficient workflow management and automation. CoRR abs/1708.09053 (2017) - [i26]Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi:
Distributed Spatial Data Clustering as a New Approach for Big Data Analysis. CoRR abs/1710.09593 (2017) - 2016
- [j34]Rima Houari, Ahcène Bounceur
, M. Tahar Kechadi
, Abdelkamel Tari, Reinhardt Euler:
Dimensionality reduction in data mining: A Copula approach. Expert Syst. Appl. 64: 247-260 (2016) - [j33]Dimitrios C. Tselios
, Ilias K. Savvas, M. Tahar Kechadi
:
Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem. Int. J. Monit. Surveillance Technol. Res. 4(1): 42-61 (2016) - [j32]Saad Fehis, Omar Nouali, Mohand Tahar Kechadi
:
A New Distributed Chinese Wall Security Policy Model. J. Digit. Forensics Secur. Law 11(4): 149-168 (2016) - [j31]Dhai Eddine Salhi, Abdelkamel Tari, M. Tahar Kechadi
:
Clustering of optimized data for email forensics. RAIRO Oper. Res. 50(4-5): 951-963 (2016) - [j30]Xianghan Zheng, Xueying Zhang, Yuanlong Yu, M. Tahar Kechadi
, Chunming Rong
:
ELM-based spammer detection in social networks. J. Supercomput. 72(8): 2991-3005 (2016) - [j29]Maarten van Banerveld, Mohand Tahar Kechadi
, Nhien-An Le-Khac
:
A Natural Language Processing Tool for White Collar Crime Investigation. Trans. Large Scale Data Knowl. Centered Syst. 23: 1-22 (2016) - [c143]M. Tahar Kechadi:
Healthcare Big Data: Challenges and Opportunities. BDAW 2016: 3:1 - [c142]Duncan Wallace, M. Tahar Kechadi
:
Retrieval and Clustering of Medicines Within Healthcare Data Records. BDAW 2016: 16:1-16:6 - [c141]Rima Houari, Ahcène Bounceur, M. Tahar Kechadi
, A.-Kamel Tari, Reinhardt Euler:
Missing Data Analysis Using Multiple Imputation in Relation to Parkinson's Disease. BDAW 2016: 32:1-32:6 - [c140]Massinissa Saoudi, Massinissa Lounis, Ahcène Bounceur, Reinhardt Euler, M. Tahar Kechadi
:
A Parallel Data Mining Algorithm for PageRank Computation. BDAW 2016: 33:1-33:5 - [c139]Lucia De Marco, Filomena Ferrucci, M. Tahar Kechadi
, Gennaro Napoli, Pasquale Salza
:
Towards Automatic Service Level Agreements Information Extraction. CLOSER (2) 2016: 59-66 - [c138]Malika Bendechache
, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Efficient Large Scale Clustering Based on Data Partitioning. DSAA 2016: 612-621 - [c137]Darragh Whelan, Martin O'Reilly, Bing Quan Huang, Oonagh M. Giggins, M. Tahar Kechadi
, Brian Caulfield:
Leveraging IMU data for accurate exercise performance classification and musculoskeletal injury risk screening. EMBC 2016: 659-662 - [c136]Bing Quan Huang, Oonagh M. Giggins, M. Tahar Kechadi
, Brian Caulfield:
The limb movement analysis of rehabilitation exercises using wearable inertial sensors. EMBC 2016: 4686-4689 - [c135]Malika Bendechache
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets. ICDM Workshops 2016: 1098-1103 - [c134]Charaf Eddine Khamoudj, Karima Benatchba, Mohand Tahar Kechadi
:
Classical Mechanics Optimization for Image Segmentation. ICSIBO 2016: 102-110 - [c133]Bing Quan Huang, Ying Huang, Chongcheng Chen, M. Tahar Kechadi
:
A Fuzzy Rule-Based Learning Algorithm for Customer Churn Prediction. ICDM 2016: 183-196 - [c132]Samar Raza Talpur, M. Tahar Kechadi
:
A Forecasting Model for Data Center Bandwidth Utilization. IntelliSys (1) 2016: 315-330 - [c131]Massinissa Saoudi, Ahcène Bounceur, Reinhardt Euler, M. Tahar Kechadi
:
Data Mining Techniques Applied to Wireless Sensor Networks for Early Forest Fire Detection. ICC 2016 2016: 71:1-71:7 - [c130]Sonia Ikken, Eric Renault, Amine Barkat, M. Tahar Kechadi
, Abdelkamel Tari:
Efficient Intermediate Data Placement in Federated Cloud Data Centers Storage. MSPN 2016: 1-15 - [c129]Massinissa Saoudi, Ahcène Bounceur, Reinhardt Euler, M. Tahar Kechadi
, Alfredo Cuzzocrea:
Energy-Efficient Data Mining Techniques for Emergency Detection in Wireless Sensor Networks. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 766-771 - [i25]Michael Whelan, Nhien-An Le-Khac, M. Tahar Kechadi:
Data Reduction in Very Large Spatio-Temporal Data Sets. CoRR abs/1609.00988 (2016) - [i24]Nhien-An Le-Khac, Sammer Markos, M. Tahar Kechadi:
A data mining-based solution for detecting suspicious money laundering cases in an investment bank. CoRR abs/1609.00990 (2016) - [i23]Maarten van Banerveld, Nhien-An Le-Khac, M. Tahar Kechadi:
Performance Evaluation of a Natural Language Processing approach applied in White Collar crime investigation. CoRR abs/1609.00992 (2016) - [i22]Nhien-An Le-Khac, Sammer Markos, Michael O'Neill, Anthony Brabazon, M. Tahar Kechadi:
An efficient customer search tool within an Anti-Money Laundering application implemented on an international bank's dataset. CoRR abs/1609.02031 (2016) - [i21]Rob Witteman, Arjen Meijer, M. Tahar Kechadi, Nhien-An Le-Khac:
Toward a new tool to extract the Evidence from a Memory Card of Mobile phones. CoRR abs/1609.02953 (2016) - [i20]Robert van Voorst, M. Tahar Kechadi, Nhien-An Le-Khac:
Forensics Acquisition of IMVU: A Case Study. CoRR abs/1609.02954 (2016) - [i19]Bert Busstra, Nhien-An Le-Khac, M. Tahar Kechadi:
Android and Wireless data-extraction using Wi-Fi. CoRR abs/1609.02966 (2016) - [i18]Fan Cai, Nhien-An Le-Khac, M. Tahar Kechadi:
An Integrated Classification Model for Financial Data Mining. CoRR abs/1609.02976 (2016) - [i17]Pieter Van Vliet, M. Tahar Kechadi, Nhien-An Le-Khac:
Forensics in Industrial Control System: A Case Study. CoRR abs/1611.01754 (2016) - [i16]Muhammad Faheem, M. Tahar Kechadi, Nhien-An Le-Khac:
Toward a new mobile cloud forensic framework. CoRR abs/1611.09564 (2016) - [i15]Muhammad Faheem, M. Tahar Kechadi, Nhien-An Le-Khac:
The State of the Art Forensic Techniques in Mobile Cloud Environment: A Survey, Challenges and Current Trends. CoRR abs/1611.09566 (2016) - [i14]Christos Sgaras, M. Tahar Kechadi, Nhien-An Le-Khac:
Forensics Acquisition and Analysis of instant messaging and VoIP applications. CoRR abs/1612.00204 (2016) - 2015
- [j28]Mark Scanlon
, Jason Farina, M. Tahar Kechadi
:
Network investigation methodology for BitTorrent Sync: A Peer-to-Peer based file synchronisation service. Comput. Secur. 54: 27-43 (2015) - [j27]Yoan Chabot
, Aurélie Bertaux, Christophe Nicolle, M. Tahar Kechadi
:
An ontology-based approach for the reconstruction and analysis of digital incidents timelines. Digit. Investig. 15: 83-100 (2015) - [j26]Muhammad Faheem, M. Tahar Kechadi
, Nhien-An Le-Khac
:
The State of the Art Forensic Techniques in Mobile Cloud Environment: A Survey, Challenges and Current Trends. Int. J. Digit. Crime Forensics 7(2): 1-19 (2015) - [j25]Robert van Voorst, Mohand Tahar Kechadi
, Nhien-An Le-Khac
:
Forensic Acquisition of IMVU: A Case Study. J. Digit. Forensics Secur. Law 10(4): 69-78 (2015) - [j24]Jason Farina, M. Tahar Kechadi
, Mark Scanlon:
Project Maelstrom: Forensic Analysis of the BitTorrent-Powered Browser. J. Digit. Forensics Secur. Law 10(4): 115-124 (2015) - [c128]Jason Farina, Mark Scanlon
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Overview of the Forensic Investigation of Cloud Services. ARES 2015: 556-565 - [c127]Lucia De Marco, Filomena Ferrucci, M. Tahar Kechadi
:
SLAFM - A Service Level Agreement Formal Model for Cloud Computing. CLOSER 2015: 521-528 - [c126]Dongyun An, Xianghan Zheng, Chunming Rong
, M. Tahar Kechadi
, Chongcheng Chen:
Gaussian Mixture Model Based Interest Prediction In Social Networks. CloudCom 2015: 196-201 - [c125]Pieter Van Vliet, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Forensics in Industrial Control System: A Case Study. CyberICS/WOS-CPS@ESORICS 2015: 147-156 - [c124]Conor Quinn, Mark Scanlon
, Jason Farina, M. Tahar Kechadi
:
Forensic Analysis and Remote Evidence Recovery from Syncthing: An Open Source Decentralised File Synchronisation Utility. ICDF2C 2015: 85-99 - [c123]Sameh Abdalla, Bing Quan Huang, M. Tahar Kechadi
:
An agent-based negotiation approach for knowledge exchange in cloud service platforms. ICSDM 2015: 22-27 - [c122]Malika Bendechache
, M. Tahar Kechadi
:
Distributed clustering algorithm for spatial data mining. ICSDM 2015: 60-65 - [c121]Van-Hung Cao
, Khoi-Xuan Chu, Nhien-An Le-Khac
, M. Tahar Kechadi
, Debra F. Laefer
, Linh Truong-Hong:
Toward a new approach for massive LiDAR data processing. ICSDM 2015: 135-140 - [c120]Dimitrios C. Tselios
, Ilias K. Savvas
, M. Tahar Kechadi
:
Integrated intelligent method for solving multi-objective MPM job shop scheduling problem. IISA 2015: 1-6 - [c119]Sonia Ikken, Éric Renault, M. Tahar Kechadi
, AbdelKamel Tari:
Toward Scheduling I/O Request of Mapreduce Tasks Based on Markov Model. MSPN 2015: 78-89 - [c118]Filomena Ferrucci, Pasquale Salza
, M. Tahar Kechadi
, Federica Sarro
:
A parallel genetic algorithms framework based on Hadoop MapReduce. SAC 2015: 1664-1667 - [i13]Mark Scanlon, Jason Farina, M. Tahar Kechadi:
Network investigation methodology for BitTorrent Sync: A Peer-to-Peer based file synchronisation service. CoRR abs/1506.01414 (2015) - [i12]Jason Farina, M. Tahar Kechadi, Mark Scanlon:
Project Maelstrom: Forensic Analysis of the BitTorrent-Powered Browser. CoRR abs/1510.00651 (2015) - [i11]Jason Farina, Mark Scanlon, Stephen Kohlmann, Nhien-An Le-Khac, M. Tahar Kechadi
:
HTML5 Zero Configuration Covert Channels: Security Risks and Challenges. CoRR abs/1510.00661 (2015) - 2014
- [j23]Jason Farina, Mark Scanlon
, M. Tahar Kechadi
:
BitTorrent Sync: First Impressions and Digital Forensic Implications. Digit. Investig. 11(Supplement 1): S77-S86 (2014) - [j22]Yoan Chabot
, Aurélie Bertaux, Christophe Nicolle, M. Tahar Kechadi
:
A complete formalized knowledge representation model for advanced digital forensics timeline analysis. Digit. Investig. 11(Supplement 2): S95-S105 (2014) - [j21]Mark Scanlon, Jason Farina, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Leveraging Decentralization to Extend the Digital Evidence Acquisition Window: Case Study on Bittorrent Sync. J. Digit. Forensics Secur. Law 9(2): 85-100 (2014) - [c117]Mark Scanlon
, Jason Farina, M. Tahar Kechadi
:
BitTorrent Sync: Network Investigation Methodology. ARES 2014: 21-29 - [c116]Imen Heloulou, Mohammed Said Radjef
, Mohand Tahar Kechadi
:
Clustering Based on Sequential Multi-Objective Games. DaWaK 2014: 369-381 - [c115]Yoan Chabot, Aurélie Bertaux, M. Tahar Kechadi, Christophe Nicolle:
Reconstruction et analyse sémantique de chronologies cybercriminelles. EGC 2014: 521-524 - [c114]Maarten van Banerveld, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Performance Evaluation of a Natural Language Processing Approach Applied in White Collar Crime Investigation. FDSE 2014: 29-43 - [c113]Nhien-An Le-Khac
, Mark Roeloffs, M. Tahar Kechadi
:
Forensic Analysis of the TomTom Navigation Application. IFIP Int. Conf. Digital Forensics 2014: 267-276 - [c112]Yoan Chabot
, Aurélie Bertaux, Christophe Nicolle, M. Tahar Kechadi
:
Automatic Timeline Construction and Analysis for Computer Forensics Purposes. JISIC 2014: 276-279 - [c111]Christos Sgaras, M. Tahar Kechadi
, Nhien-An Le-Khac
:
Forensics Acquisition and Analysis of Instant Messaging and VoIP Applications. IWCF 2014: 188-199 - [c110]Mehdi Kamal, Massinissa Lounis
, Ahcène Bounceur, M. Tahar Kechadi
:
CupCarbon: a multi-agent and discrete event wireless sensor network design and simulation tool. SimuTools 2014: 126-131 - [i10]Jason Farina, Mark Scanlon, M. Tahar Kechadi:
BitTorrent Sync: First Impressions and Digital Forensic Implications. CoRR abs/1409.8174 (2014) - [i9]Mark Scanlon, Jason Farina, Nhien-An Le-Khac, M. Tahar Kechadi:
Leveraging Decentralization to Extend the Digital Evidence Acquisition Window: Case Study on BitTorrent Sync. CoRR abs/1409.8486 (2014) - [i8]Mark Scanlon, Jason Farina, M. Tahar Kechadi:
BitTorrent Sync: Network Investigation Methodology. CoRR abs/1409.8489 (2014) - [i7]Mark Scanlon, M. Tahar Kechadi:
The Case for a Collaborative Universal Peer-to-Peer Botnet Investigation Framework. CoRR abs/1409.8490 (2014) - [i6]Mark Scanlon, M. Tahar Kechadi:
Digital Evidence Bag Selection for P2P Network Investigation. CoRR abs/1409.8493 (2014) - 2013
- [j20]Keyun Ruan, Joe Carthy, M. Tahar Kechadi
, Ibrahim M. Baggili:
Cloud forensics definitions and critical criteria for cloud forensic capability: An overview of survey results. Digit. Investig. 10(1): 34-43 (2013) - [j19]Ying Huang, M. Tahar Kechadi
:
An effective hybrid learning system for telecommunication churn prediction. Expert Syst. Appl. 40(14): 5635-5647 (2013) - [j18]Dimitrios C. Tselios
, Ilias K. Savvas
, M. Tahar Kechadi
:
Multiple project portfolio scheduling using recurrent neural networks. Int. J. Simul. Process. Model. 8(4): 227-240 (2013) - [c109]Mark Scanlon
, M. Tahar Kechadi
:
Universal Peer-to-Peer Network Investigation Framework. ARES 2013: 694-700 - [c108]Dimitrios C. Tselios
, Ilias K. Savvas
, M. Tahar Kechadi
:
RNN Modelling for Bi-Objective MPM Job Shop Scheduling Problem. CICSyN 2013: 13-18 - [c107]NhienAn LeKhac
, Bo Wu
, Chongcheng Chen, Mohand Tahar Kechadi
:
Feature Selection Parallel Technique for Remotely Sensed Imagery Classification. ICCSA (2) 2013: 623-634 - [c106]Lucia De Marco, M. Tahar Kechadi
, Filomena Ferrucci
:
Cloud Forensic Readiness: Foundations. ICDF2C 2013: 237-244 - [c105]Ilias K. Savvas
, M. Tahar Kechadi
:
CKDD Track Report. WETICE 2013: 164-165 - [i5]Filomena Ferrucci, M. Tahar Kechadi, Pasquale Salza, Federica Sarro:
A Framework for Genetic Algorithms Based on Hadoop. CoRR abs/1312.0086 (2013) - 2012
- [j17]Bing Quan Huang, Mohand Tahar Kechadi
, Brian Buckley:
Customer churn prediction in telecommunications. Expert Syst. Appl. 39(1): 1414-1425 (2012) - [j16]Nhien-An Le-Khac
, Sammer Markos, M. Tahar Kechadi
:
A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets. Int. J. Bus. Intell. Res. 3(4): 1-13 (2012) - [c104]Dimitrios C. Tselios
, Ilias K. Savvas
, M. Tahar Kechadi
:
Project Portfolio: A Job Scheduling Approach. CISIS 2012: 847-852 - [c103]Ilias K. Savvas, M. Tahar Kechadi:
Mining on the Cloud - K-means with MapReduce. CLOSER 2012: 413-418 - [c102]Dimitrios C. Tselios
, Ilias K. Savvas
, M. Tahar Kechadi
:
The Weighted Tardiness as Objective Function of a RNN Model for the Job Scheduling Problem. EMS 2012: 15-20 - [c101]Lamine M. Aouad, M. Tahar Kechadi
, Roberto Di Russo:
ANTS ROAD: A New Tool for SQLite Data Recovery on Android Devices. ICDF2C 2012: 253-263 - [c100]Fan Cai, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Toward a new classification model for analysing financial datasets. ICDIM 2012: 1-6 - [c99]Lamine M. Aouad, M. Tahar Kechadi
, Justin Trentesaux, Nhien-An Le-Khac
:
An Open Framework for Smartphone Evidence Acquisition. IFIP Int. Conf. Digital Forensics 2012: 159-166 - [c98]Keyun Ruan, Joshua James
, Joe Carthy, M. Tahar Kechadi
:
Key Terms for Service Level Agreements to Support Cloud Forensics. IFIP Int. Conf. Digital Forensics 2012: 201-212 - [c97]Fan Cai, NhienAn LeKhac
, M. Tahar Kechadi
:
An Integrated Model for Financial Data Mining. MIWAI 2012: 306-317 - [c96]M. Tahar Kechadi
, Ilias K. Savvas
:
CKDD Track Report: Cooperative Knowledge Discovery and Data Mining. WETICE 2012: 197-198 - 2011
- [j15]Mark Scanlon
, Alan Hannaway, M. Tahar Kechadi
:
Investigating Cybercrimes that Occur on Documented P2P Networks. Int. J. Ambient Comput. Intell. 3(2): 56-63 (2011) - [j14]M. Tahar Kechadi
, Jacques-H. Bellec, AbdelKamel Tari:
Behavioural Proximity Discovery: an adaptive approach for root cause analysis. Int. J. Bus. Intell. Data Min. 6(3): 259-282 (2011) - [c95]Michael Whelan
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
A New Hybrid Clustering Method for Reducing Very Large Spatio-temporal Dataset. ADMA (1) 2011: 69-82 - [c94]Nhien-An Le-Khac
, M. Tahar Kechadi
:
On a Distributed Approach for Density-Based Clustering. ICMLA (1) 2011: 283-286 - [c93]Kahina Ghidouche, M. Tahar Kechadi
, AbdelKamel Tari:
Study and analysis of temporal data using Hidden Markov models. ICSDM 2011: 16-20 - [c92]S. Ghanem, M. Tahar Kechadi
, AbdelKamel Tari:
New approach for distributed clustering. ICSDM 2011: 60-65 - [c91]Soheil Sabri, Mohammed Said Radjef
, M. Tahar Kechadi
:
Evaluation of a clustering technique based on game theory. ICSDM 2011: 71-76 - [c90]Hayette Khaled, M. Tahar Kechadi
, AbdelKamel Tari:
Ontology for knowledge management and improvement of data mining result. ICSDM 2011: 257-262 - [c89]Michael Whelan
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Comparing two density-based clustering methods for reducing very large spatio-temporal dataset. ICSDM 2011: 519-524 - [c88]Keyun Ruan, Joe Carthy, M. Tahar Kechadi
, Mark Crosbie:
Cloud Forensics. IFIP Int. Conf. Digital Forensics 2011: 35-46 - [c87]Ying Huang, Bing Quan Huang, M. Tahar Kechadi
:
A Rule-Based Method for Customer Churn Prediction in Telecommunication Services. PAKDD (1) 2011: 411-422 - [c86]M. Tahar Kechadi
, Ilias K. Savvas
:
Cooperative Knowledge Discovery & Data Mining Track Report - CKDD 2011. WETICE 2011: 143-144 - [c85]Jean-Francois Laloux, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Efficient Distributed Approach for Density-Based Clustering. WETICE 2011: 145-150 - 2010
- [j13]Bing Quan Huang, Brian Buckley, M. Tahar Kechadi
:
Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications. Expert Syst. Appl. 37(5): 3638-3646 (2010) - [j12]Bing Quan Huang, Mohand Tahar Kechadi
, Brian Buckley, G. Kiernan, E. Keogh, Tarik A. Rashid
:
A new feature set with new window techniques for customer churn prediction in land-line telecommunications. Expert Syst. Appl. 37(5): 3657-3665 (2010) - [j11]Alexey L. Lastovetsky
, M. Tahar Kechadi
:
Recent Advances in Parallel Virtual Machine and Message Passing Interface. Int. J. High Perform. Comput. Appl. 24(1): 3-4 (2010) - [j10]Lamine M. Aouad, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Performance study of distributed Apriori-like frequent itemsets mining. Knowl. Inf. Syst. 23(1): 55-72 (2010) - [c84]Nhien-An Le-Khac
, Martin Bue, Michael Whelan
, M. Tahar Kechadi
:
A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets. ADMA (2) 2010: 43-54 - [c83]Bing Quan Huang, T. Satoh, Y. Huang, M. Tahar Kechadi
, Brian Buckley:
Using Genetic K-Means Algorithm for PCA Regression Data in Customer Churn Prediction. ADMA (2) 2010: 210-220 - [c82]Takeshi Sato, Bing Quan Huang, Y. Huang, M. Tahar Kechadi
, Brian Buckley:
Using PCA to Predict Customer Churn in Telecommunication Dataset. ADMA (2) 2010: 326-335 - [c81]Lamine M. Aouad, M. Tahar Kechadi
, Serge G. Petiton:
Persistent Locality Management of Scientific Application Workflows. CSE 2010: 404-409 - [c80]Nhien-An Le-Khac
, Sammer Markos, M. Tahar Kechadi
:
A Data Mining-Based Solution for Detecting Suspicious Money Laundering Cases in an Investment Bank. DBKDA 2010: 235-240 - [c79]Guillem Lefait, M. Tahar Kechadi:
Self-clustering for identification of customer purchase behaviours. EGC 2010: 109-114 - [c78]Ray Genoe, M. Tahar Kechadi
:
Fuzzy Spatial Analysis Techniques for Mathematical Expression Recognition. ICAISC (1) 2010: 80-87 - [c77]Damir Kahvedzic, M. Tahar Kechadi
:
Semantic Modelling of Digital Forensic Evidence. ICDF2C 2010: 149-156 - [c76]Nhien-An Le-Khac
, M. Tahar Kechadi
:
Application of Data Mining for Anti-money Laundering Detection: A Case Study. ICDM Workshops 2010: 577-584 - [c75]Guillem Lefait, M. Tahar Kechadi
:
Customer Segmentation Architecture Based on Clustering Techniques. ICDS 2010: 243-248 - [c74]Guillem Lefait, M. Tahar Kechadi
:
Analysis of Deputy and Party Similarities through Hierarchical Clustering. ICDS 2010: 264-268 - [c73]Ray Genoe, M. Tahar Kechadi
:
A Real-Time Recognition System for Handwritten Mathematics: Backtracking and Relationship Discovery. ICFHR 2010: 399-404 - [c72]Ray Genoe, M. Tahar Kechadi
:
A Real-Time Recognition System for Handwritten Mathematics: Structural Development. ICFHR 2010: 593-598 - [c71]Nhien-An Le-Khac, Sammer Markos, Mohand Tahar Kechadi:
Performance Evaluation of a Knowledge-based Solution for Detecting Money Laundering in an Investment Bank. IKE 2010: 57-63 - [c70]Takeshi Sato, Bing Quan Huang, Y. Huang, M. Tahar Kechadi
:
Local PCA Regression for Missing Data Estimation in Telecommunication Dataset. PRICAI 2010: 668-673 - [c69]M. Tahar Kechadi
:
The Data Wave: Data Management and Mining. WETICE 2010: 7-11 - [c68]M. Tahar Kechadi, Ilias K. Savvas
:
Cooperative Knowledge Discovery & Data Mining CKDD. WETICE 2010: 96-97 - [c67]Michael Whelan
, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Data Reduction in Very Large Spatio-Temporal Datasets. WETICE 2010: 104-109
2000 – 2009
- 2009
- [j9]Damir Kahvedzic, M. Tahar Kechadi
:
DIALOG: A framework for modeling, analysis and reuse of digital forensic knowledge. Digit. Investig. 6(Supplement): S23-S33 (2009) - [j8]Damir Kahvedzic, M. Tahar Kechadi:
Correlating Orphaned Windows Registry Data Structures. J. Digit. Forensics Secur. Law 4(2): 39-56 (2009) - [c66]Takeshi Sato, Bing Quan Huang, Guillem Lefait, M. Tahar Kechadi, Brian Buckley:
Kernel-based Principal Components Analysis on Large Telecommunication Data. AusDM 2009: 109-116 - [c65]Bing Quan Huang, M. Tahar Kechadi
, Brian Buckley:
Customer Churn Prediction for Broadband Internet Services. DaWaK 2009: 229-243 - [c64]Jacques-H. Bellec, M. Tahar Kechadi:
Formal Model For Fault Recognition In Modern Telecommunication Networks. DMIN 2009: 347-353 - [c63]Niall McGrath, Pavel Gladyshev
, M. Tahar Kechadi
, Joe Carthy:
Investigating Encrypted Material. e-Forensics 2009: 29-35 - [c62]Nhien-An Le-Khac
, Sammer Markos, Mohand Tahar Kechadi
:
Towards a New Data Mining-Based Approach for Anti-Money Laundering in an International Investment Bank. ICDF2C 2009: 77-84 - [c61]Mark Scanlon
, Mohand Tahar Kechadi
:
Online Acquisition of Digital Forensic Evidence. ICDF2C 2009: 122-131 - [c60]Nhien-An Le-Khac, Sammer Markos, Michael O'Neill, Anthony Brabazon, M. Tahar Kechadi:
An Efficient Search Tool For An Anti-Money Laundering Application Of An Multi-National Bank's Dataset. IKE 2009: 151-157 - [c59]Damir Kahvedzic, M. Tahar Kechadi
:
On the persistence of deleted windows registry data structures. SAC 2009: 895-896 - [p1]Bing Quan Huang, Y. B. Zhang, M. Tahar Kechadi
:
Preprocessing Techniques for Online Handwriting Recognition. Intelligent Text Categorization and Clustering 2009: 25-45 - 2008
- [j7]Damir Kahvedzic, M. Tahar Kechadi:
Extraction and Categorisation of User Activity from Windows Restore Points. J. Digit. Forensics Secur. Law 3(4): 23-42 (2008) - [c58]Elena Camossi, Michela Bertolotto, M. Tahar Kechadi
:
Mining Spatio-Temporal Data at Different Levels of Detail. AGILE Conf. 2008: 225-240 - [c57]Lamine M. Aouad, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Persistent Workflow on the Grid. APSCC 2008: 8-14 - [c56]Ray Genoe, M. Tahar Kechadi
:
On the recognition of online handwritten mathematics using feature-based fuzzy rules and relationship precedence. FUZZ-IEEE 2008: 1641-1646 - [c55]Nhien-An Le-Khac
, Lamine M. Aouad, M. Tahar Kechadi
:
Handling Large Volumes of Mined Knowledge with a Self-Reconfigurable Topology on Distributed Systems. ICMLA 2008: 839-842 - [e1]Alexey L. Lastovetsky
, M. Tahar Kechadi
, Jack J. Dongarra:
Recent Advances in Parallel Virtual Machine and Message Passing Interface, 15th European PVM/MPI Users' Group Meeting, Dublin, Ireland, September 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5205, Springer 2008, ISBN 978-3-540-87474-4 [contents] - 2007
- [j6]Michela Bertolotto
, Sergio Di Martino
, Filomena Ferrucci
, M. Tahar Kechadi
:
Towards a framework for mining and analysing spatio-temporal datasets. Int. J. Geogr. Inf. Sci. 21(8): 895-906 (2007) - [j5]P. Compieta, Sergio Di Martino
, Michela Bertolotto
, Filomena Ferrucci
, M. Tahar Kechadi
:
Exploratory spatio-temporal data mining and visualization. J. Vis. Lang. Comput. 18(3): 255-279 (2007) - [c54]Nhien-An Le-Khac
, Lamine M. Aouad, M. Tahar Kechadi
:
A New Approach for Distributed Density Based Clustering on Grid Platform. BNCOD 2007: 247-258 - [c53]Jacques-H. Bellec, M. Tahar Kechadi
:
Cufres: clustering using fuzzy representative eventsselection for the fault recognition problem intelecommunication networks. PIKM 2007: 55-62 - [c52]Lamine M. Aouad, Nhien-An Le-Khac, M. Tahar Kechadi:
Variance-based Clustering Technique for Distributed Data Mining Applications. DMIN 2007: 111-117 - [c51]Jacques-H. Bellec, M. Tahar Kechadi
:
FECk: A New Efficient Clustering Algorithm for the Events Correlation Problem in Telecommunication Networks. FGCN (1) 2007: 469-475 - [c50]Benoit Hudzia, M. Tahar Kechadi
:
THON: A Tessellation-based Hierarchical Overlay Network for DGET Grid Middleware. ICCCN 2007: 924-931 - [c49]John A. Fitzgerald, Franz Geiselbrechtinger, M. Tahar Kechadi
:
Mathpad: A Fuzzy Logic-Based Recognition System for Handwritten Mathematics. ICDAR 2007: 694-698 - [c48]Nhien-An Le-Khac
, Lamine M. Aouad, M. Tahar Kechadi
:
An efficient support management tool for distributed data mining environments. ICDIM 2007: 272-278 - [c47]Lamine M. Aouad, Nhien-An Le-Khac
, M. Tahar Kechadi
:
Lightweight Clustering Technique for Distributed Data Mining Applications. ICDM 2007: 120-134 - [c46]Bing Quan Huang, Y. B. Zhang, Mohand Tahar Kechadi
:
Preprocessing Techniques for Online Handwriting Recognition. ISDA 2007: 793-800 - [c45]Ilias K. Savvas
, M. Tahar Kechadi
:
Efficient Load Balancing on Irregular Network Topologies Using B+tree Structures. ISPDC 2007: 185-192 - [c44]M. Tahar Kechadi
, Michela Bertolotto
:
Scalable 2-Pass Data Mining Technique for Large Scale Spatio-temporal Datasets. KES (2) 2007: 785-792 - [c43]Muhammad Waseem Akhtar, M. Tahar Kechadi:
A comparative study of peer to peer dynamic load balancing on embedded topologies. Parallel and Distributed Computing and Networks 2007: 180-185 - 2006
- [j4]Ahmad Chadi Aljundi, Jean-Luc Dekeyser, M. Tahar Kechadi
, Isaac D. Scherson:
A universal performance factor for multi-criteria evaluation of multistage interconnection networks. Future Gener. Comput. Syst. 22(7): 794-804 (2006) - [c42]John A. Fitzgerald, Franz Geiselbrechtinger, M. Tahar Kechadi:
Structural analysis of handwritten mathematical expressions through fuzzy parsing. ACST 2006: 151-156 - [c41]Euloge Edi, M. Tahar Kechadi
, Ronan McNulty:
Virtual Structured P2P Network Topology for Distributed Computing. CLUSTER 2006 - [c40]Jacques-H. Bellec, M. Tahar Kechadi, Joe Carthy:
Performance Evaluation of Two Data Mining Techniques of Network Alarms Analysis. DMIN 2006: 182-188 - [c39]Ray Genoe, John A. Fitzgerald, M. Tahar Kechadi
:
An Online Fuzzy Approach to the Structural Analysis of Handwritten Mathematical Expressions. FUZZ-IEEE 2006: 244-250 - [c38]Bing Quan Huang, M. Tahar Kechadi
:
An HMM-SNN Method for Online Handwriting Symbol Recognition. ICIAR (2) 2006: 897-905 - [c37]Bing Quan Huang, Mohand Tahar Kechadi
:
A Fast Feature Selection Model for Online Handwriting Symbol Recognition. ICMLA 2006: 251-257 - [c36]Nhien-An Le-Khac, M. Tahar Kechadi, Joe Carthy:
Admire framework: Distributed data mining on data grid platforms. ICSOFT (2) 2006: 67-72 - [c35]Alex Cronin, John A. Fitzgerald, M. Tahar Kechadi
:
A Hybrid Recogniser for Handwritten Symbols Based on Fuzzy Logic and Self-Organizing Maps. ICTAI 2006: 693-700 - [c34]M. Tahar Kechadi
, Michela Bertolotto
:
A visual approach for spatio-temporal data mining. IRI 2006: 504-509 - [c33]Bing Quan Huang, C. J. Du, Y. B. Zhang, M. Tahar Kechadi
:
A Hybrid HMM-SVM Method for Online Handwriting Symbol Recognition. ISDA (1) 2006: 887-891 - [c32]Tariq N. Ellahi, Benoit Hudzia, Liam McDermott, M. Tahar Kechadi
:
Security Framework for P2P Based Grid Systems. ISPDC 2006: 230-237 - [c31]Muhammad Waseem Akhtar, M. Tahar Kechadi
:
On the Efficiency of Dynamic Load Balancing on P2P Irregular Network Topologies. ISPDC 2006: 271-280 - [c30]Jacques-H. Bellec, M. Tahar Kechadi
:
Behavioural Proximity Approach for Alarm Correlation in Telecommunication Networks. MICAI 2006: 674-683 - [c29]Euloge Edi, M. Tahar Kechadi
, Ronan McNulty:
TreeP: A Self-reconfigurable Topology for Unstructured P2P Systems. PARA 2006: 1136-1146 - [c28]Benoit Hudzia, Tariq N. Ellahi, Liam McDermott, M. Tahar Kechadi:
A Java Based Architecture of P2P-Grid Middleware. PDPTA 2006: 113-119 - [i4]Benoit Hudzia, Liam McDermott, Tariq N. Ellahi, M. Tahar Kechadi:
Entity Based Peer-to-Peer in a Data Grid Environment. CoRR abs/cs/0608112 (2006) - [i3]Benoit Hudzia, Tariq N. Ellahi, Liam McDermott, M. Tahar Kechadi:
A Java Based Architecture of P2P-Grid Middleware. CoRR abs/cs/0608113 (2006) - [i2]Tariq N. Ellahi, Benoit Hudzia, Liam McDermott, M. Tahar Kechadi:
Transparent Migration of Multi-Threaded Applications on a Java Based Grid. CoRR abs/cs/0608116 (2006) - [i1]Benoit Hudzia, M. Tahar Kechadi, Adrian Ottewill:
TreeP: A Tree-Based P2P Network Architecture. CoRR abs/cs/0608118 (2006) - 2005
- [j3]M. Tahar Kechadi
, Ilias K. Savvas
:
Dynamic task scheduling for irregular network topologies. Parallel Comput. 31(7): 757-776 (2005) - [c27]Kok Seng Low, M. Tahar Kechadi:
Evaluation of a Neural Network Approach on FMS Cyclic Task Scheduling Problem. Artificial Intelligence and Applications 2005: 30-35 - [c26]Tarik A. Rashid, M. Tahar Kechadi:
Multi-Context-Recurrent Neural Network for Load Forecasting. Artificial Intelligence and Applications 2005: 797-802 - [c25]Benoit Hudzia, M. Tahar Kechadi
, Adrian Ottewill
:
TreeP: A Tree Based P2P Network Architecture. CLUSTER 2005: 1-15 - [c24]Tarik A. Rashid, M. Tahar Kechadi:
Neural Network Effective Approach for Energy Load Forecasting. Computational Intelligence 2005: 220-225 - [c23]Bing Quan Huang, M. Tahar Kechadi:
A Recurrent Neural Network Recogniser for Online Recognition of Handwritten Symbols. ICEIS (2) 2005: 27-34 - [c22]John A. Fitzgerald, Bing Quan Huang, M. Tahar Kechadi
:
An Efficient Hybrid Approach for Online Recognition of Handwritten Symbols. MICAI 2005: 843-853 - [c21]Cristian Preda, Alain Duhamel, Monique Picavet, M. Tahar Kechadi:
Tools for Statistical Analysis with Missing Data: Application to a Large Medical Database. MIE 2005: 181-186 - [c20]Muhammad Waseem Akhtar, M. Tahar Kechadi:
Efficient Two-Pass Dynamic Load Balancing for Computational Clusters. Parallel and Distributed Computing and Networks 2005: 252-257 - [c19]Muhammad Waseem Akhtar, M. Tahar Kechadi:
Dynamic Load Balancing of Content Requests in Peer to Peer Systems. IASTED PDCS 2005: 79-84 - [c18]Jacques-H. Bellec, M. Tahar Kechadi, Joe Carthy:
A New Efficient Clustering Algorithm for Network Alarm Analysis. IASTED PDCS 2005: 638-643 - [c17]Tarik A. Rashid, M. Tahar Kechadi:
A Practical Approach for Electricity Load Forecasting. WEC (5) 2005: 201-205 - 2004
- [j2]Ilias K. Savvas, M. Tahar Kechadi
:
Performance study of a dynamic task scheduling for heterogeneous distributed systems. Oper. Res. 4(3): 291-303 (2004) - [c16]John A. Fitzgerald, Franz Geiselbrechtinger, M. Tahar Kechadi
:
Feature Extraction of Handwritten Symbols Using Fuzzy Logic. Canadian AI 2004: 493-498 - [c15]Orla McEnery, Alex Cronin, M. Tahar Kechadi
, Franz Geiselbrechtinger:
Suitability of Two Associative Memory Neural Networks to Character Recognition. Australian Conference on Artificial Intelligence 2004: 886-897 - [c14]Tariq N. Ellahi, M. Tahar Kechadi
:
Distributed Resource Discovery in Wide Area Grid Environments. International Conference on Computational Science 2004: 210-217 - [c13]John A. Fitzgerald, Franz Geiselbrechtinger, Mohand Tahar Kechadi
:
Application of fuzzy logic to online recognition of handwritten symbols. IWFHR 2004: 395-400 - [c12]Alex Cronin, Orla McEnery, M. Tahar Kechadi
, Franz Geiselbrechtinger:
Comparative Analysis of Two Associative Memory Neural Networks. ICTAI 2004: 120-127 - [c11]Ilias K. Savvas
, M. Tahar Kechadi
:
Dynamic Task Scheduling in Computing Cluster Environments. ISPDC/HeteroPar 2004: 372-379 - 2003
- [c10]Ahmad Chadi Aljundi, Jean-Luc Dekeyser, M. Tahar Kechadi
, Isaac D. Scherson:
A Study of an Evaluation Methodology for Unbuffered Multistage Interconnection Networks. IPDPS 2003: 277 - [c9]Ilias K. Savvas
, M. Tahar Kechadi
:
On The Load Distribution and Performance of Meta-Computing Systems. ISPDC 2003: 222-229 - [c8]Ilias K. Savvas
, M. Tahar Kechadi
:
Performance Study of Scheduling Mechanisms for Peer-to-Peer Computing Environments. PPAM 2003: 954-962
1990 – 1999
- 1999
- [c7]M. Tahar Kechadi
:
Recurrent Neural Network Approach for Partitioning Irregular Graphs. HPCN Europe 1999: 450-459 - 1998
- [c6]M. Tahar Kechadi
, David F. Hegarty:
A Parallel Technique for Partitioning Nodes of Weighted Graphs. HPCN Europe 1998: 449-457 - 1997
- [j1]M. Tahar Kechadi
, Jean-Luc Dekeyser:
Analysis and Simulation of an Out-Of-Order Execution Model in Vector Multiprocessor Systems. Parallel Comput. 23(13): 1963-1986 (1997) - [c5]David F. Hegarty, M. Tahar Kechadi:
Topology Preserving Dynamic Load Balancing for Parallel Molecular Simulations. SC 1997: 36 - 1996
- [c4]M. Tahar Kechadi
, P. Kiernan, David F. Hegarty, Kenneth A. Dawson:
Parallel Simulation Environment for Polymers, DNA and Protein Molecular Chains. HPCN Europe 1996: 373-378 - [c3]David F. Hegarty, M. Tahar Kechadi
, Kenneth A. Dawson:
On the Crossover Points for Dynamic Load Balancing of Long-Chained Molecules. PARA 1996: 388-397 - 1995
- [c2]David F. Hegarty, M. Tahar Kechadi
, Kenneth A. Dawson:
Dynamic Domain Decomposition and Load Balancing for Parallel Simulations of Long-Chained Molecules. PARA 1995: 303-312 - 1992
- [c1]M. Tahar Kechadi, Jean-Luc Dekeyser, Philippe Marquet, Philippe Preux:
Performance improvement for vector pipeline multiprocessor systems using a disordered execution model. ISCA 1992: 433
Coauthor Index
aka: NhienAn LeKhac
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