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ORCID18th DaWaK 2016: Porto, Portugal
- Sanjay Madria, Takahiro Hara:
Big Data Analytics and Knowledge Discovery - 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings. Lecture Notes in Computer Science 9829, Springer 2016, ISBN 978-3-319-43945-7
Mining Big Data I
- Wensheng Gan
, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao:
Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint. 3-18 - Martin Kirchgessner, Vincent Leroy, Alexandre Termier, Sihem Amer-Yahia, Marie-Christine Rousset:
TopPI: An Efficient Algorithm for Item-Centric Mining. 19-33 - Samrat Gupta, Pradeep Kumar, Bharat Bhasker:
A Rough Connectedness Algorithm for Mining Communities in Complex Networks. 34-48
Applications of Big Data Mining I
- Yu-Chi Chen, En Tzu Wang, Arbee L. P. Chen:
Mining User Trajectories from Smartphone Data Considering Data Uncertainty. 51-67 - Sabin Kafle, Dejing Dou:
A Heterogeneous Clustering Approach for Human Activity Recognition. 68-81 - Fan Liu, Ningning Wu:
SentiLDA - An Effective and Scalable Approach to Mine Opinions of Consumer Reviews by Utilizing Both Structured and Unstructured Data. 82-96
Mining Big Data II
- Daniel Trabold, Tamás Horváth:
Mining Data Streams with Dynamic Confidence Intervals. 99-113 - Claudio Lucchese, Salvatore Orlando, Raffaele Perego:
Evaluating Top-K Approximate Patterns via Text Clustering. 114-127 - Marcos Roriz, Markus Endler, Marco A. Casanova, Hélio Lopes, Francisco José da Silva e Silva:
A Heuristic Approach for On-line Discovery of Unidentified Spatial Clusters from Grid-Based Streaming Algorithms. 128-142 - Yoshitaka Kameya:
An Exhaustive Covering Approach to Parameter-Free Mining of Non-redundant Discriminative Itemsets. 143-159
Applications of Big Data Mining II
- Jia-Ling Koh, Shao-Chun Peng:
A Maximum Dimension Partitioning Approach for Efficiently Finding All Similar Pairs. 163-178 - Mu-Yao Fang, Bi-Ru Dai:
Power of Bosom Friends, POI Recommendation by Learning Preference of Close Friends and Similar Users. 179-192 - Xiufeng Liu, Nadeem Iftikhar, Per Sieverts Nielsen, Alfred Heller:
Online Anomaly Energy Consumption Detection Using Lambda Architecture. 193-209
Big Data Indexing and Searching
- Giuseppe Amato, Franca Debole, Fabrizio Falchi, Claudio Gennaro, Fausto Rabitti:
Large Scale Indexing and Searching Deep Convolutional Neural Network Features. 213-224 - Batuhan Kama, Murat Ozturk, Pinar Karagoz, Ismail Hakki Toroslu, Ozcan Ozay:
A Web Search Enhanced Feature Extraction Method for Aspect-Based Sentiment Analysis for Turkish Informal Texts. 225-238 - Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Keyboard Usage Authentication Using Time Series Analysis. 239-252
Big Data Learning and Security
- Sin-Kai Wang, Bi-Ru Dai:
A G-Means Update Ensemble Learning Approach for the Imbalanced Data Stream with Concept Drifts. 255-266 - Chih-Heng Chung, Bi-Ru Dai:
A Framework of the Semi-supervised Multi-label Classification with Non-uniformly Distributed Incomplete Labels. 267-280 - Ricardo Jorge Santos, Marco Vieira, Jorge Bernardino:
XSX: Lightweight Encryption for Data Warehousing Environments. 281-295
Graph Databases and Data Warehousing
- Adriana Marotta, Alejandro A. Vaisman:
Rule-Based Multidimensional Data Quality Assessment Using Contexts. 299-313 - Soumyava Das, Ankur Goyal, Sharma Chakravarthy:
Plan Before You Execute: A Cost-Based Query Optimizer for Attributed Graph Databases. 314-328 - Marwa Manaa, Jalel Akaichi:
Ontology-Based Trajectory Data Warehouse Conceptual Model. 329-342
Data Intelligence and Technology
- Jayendra Barua, Dhaval Patel:
Discovery, Enrichment and Disambiguation of Acronyms. 345-360 - Nabila Berkani, Ladjel Bellatreche, Boualem Benatallah:
A Value-Added Approach to Design BI Applications. 361-375 - Mohamed Nadjib Mami, Simon Scerri, Sören Auer, Maria-Esther Vidal:
Towards Semantification of Big Data Technology. 376-390
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