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2020 – today
- 2023
[d2]Raghupathi Manthena
, Vangipuram Radhakrishna:
DDoS Attack Dataset. IEEE DataPort, 2023
- 2021
- [j12]Vangipuram Radhakrishna, Gali Suresh Reddy, Puligadda Veereswara Kumar, Vinjamuri Janaki:
Challenge Paper: The Vision for Time Profiled Temporal Association Mining. ACM J. Data Inf. Qual. 13(2): 12:1-12:8 (2021) - [c16]Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna:
Study of Detection of DDoS attacks in cloud environment Using Regression Analysis. DATA 2021: 166-172 - [c15]Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna:
Regression analysis for network intrusion detection. DATA 2021: 173-179 - [c14]M. S. B. PhridviRaj, C. V. Guru Rao, Vangipuram Radhakrishna, Aravind Cheruvu:
Similarity Association Pattern Mining in Transaction Databases. DATA 2021: 180-184 - [c13]Aravind Cheruvu, Vangipuram Radhakrishna:
A Survey of Similarity Measures for Time stamped Temporal Datasets. DATA 2021: 193-197 - [c12]Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna:
Fuzzy Feature Similarity Functions for Feature Clustering and Dimensionality Reduction. DATA 2021: 219-224 - [c11]Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna, Rajeshkumar Gunupudi:
Design of Gaussian Similarity Measure for Network Anomaly Detection. DATA 2021: 225-230 - [e1]Juan Alfonso Lara Torralbo, Shadi A. Aljawarneh, Vangipuram Radhakrishna, Arun N.:
DATA'21: International Conference on Data Science, E-learning and Information Systems 2021, Petra, Jordan, 5-7 April, 2021. ACM 2021, ISBN 978-1-4503-8838-2 [contents] - [d1]Laxmi Pranitha Rachamalla, Anusha Akkidasari, Sandhya Madiga, Harshitha Mittapalli, Vangipuram Radhakrishna:
CLOUD ATTACK DATASET. IEEE DataPort, 2021 - 2020
- [j11]Arun Nagaraja, Uma Boregowda, Khalaf Khatatneh, Vangipuram Radhakrishna, Rajasekhar Nuvvusetty, Sravan kiran Vangipuram:
Similarity Based Feature Transformation for Network Anomaly Detection. IEEE Access 8: 39184-39196 (2020) - [j10]Vangipuram Radhakrishna, Gunupudi Rajesh Kumar, Puligadda Veereswara Kumar, Vinjamuri Janaki:
A machine learning approach for imputation and anomaly detection in IoT environment. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j9]Shadi A. Aljawarneh, Vangipuram Radhakrishna, Aravind Cheruvu:
VRKSHA: a novel tree structure for time-profiled temporal association mining. Neural Comput. Appl. 32(21): 16337-16365 (2020) - [j8]Shadi A. Aljawarneh, Vangipuram Radhakrishna:
GARUDA: Gaussian dissimilarity measure for feature representation and anomaly detection in Internet of things. J. Supercomput. 76(6): 4376-4413 (2020)
2010 – 2019
- 2019
- [j7]Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki:
GANDIVA: Temporal Pattern Tree for Similarity Profiled Association Mining. Int. J. Inf. Technol. Web Eng. 14(4): 1-18 (2019) - [j6]Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Vinjamuri Janaki:
ASTRA - A Novel interest measure for unearthing latent temporal associations and trends through extending basic gaussian membership function. Multim. Tools Appl. 78(4): 4217-4265 (2019) - 2018
- [j5]Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Vinjamuri Janaki:
A novel fuzzy similarity measure and prevalence estimation approach for similarity profiled temporal association pattern mining. Future Gener. Comput. Syst. 83: 582-595 (2018) - [j4]Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki:
SRIHASS - a similarity measure for discovery of hidden time profiled temporal associations. Multim. Tools Appl. 77(14): 17643-17692 (2018) - [j3]Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Kim-Kwang Raymond Choo:
A novel fuzzy gaussian-based dissimilarity measure for discovering similarity temporal association patterns. Soft Comput. 22(6): 1903-1919 (2018) - [c10]Shadi A. Aljawarneh, Vangipuram Radhakrishna, Gali Suresh Reddy:
Mantra: a novel imputation measure for disease classification and prediction. DATA 2018: 25:1-25:5 - [c9]Shadi A. Aljawarneh, Vangipuram Radhakrishna, John William Atwood:
Ultimate: unearthing latent time profiled temporal associations. DATA 2018: 29:1-29:8 - [c8]Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Aravind Cheruvu:
Kaala vrksha: extending vrksha for time profiled temporal association mining. DATA 2018: 30:1-30:8 - 2017
- [j2]Shadi A. Aljawarneh, Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki:
G-SPAMINE: An approach to discover temporal association patterns and trends in internet of things. Future Gener. Comput. Syst. 74: 430-443 (2017) - 2016
- [j1]Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki:
A Novel Similar Temporal System Call Pattern Mining for Efficient Intrusion Detection. J. Univers. Comput. Sci. 22(4): 475-493 (2016) - [c7]Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki:
A Single Database Scan Approach for Mining Temporally Similar Association Patterns. ICTCS 2016: 77:1-77:6 - [c6]Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki:
Mining Outlier Temporal Association Patterns. ICTCS 2016: 105:1-105:6 - [i3]Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki:
A Novel Approach for Mining Similarity Profiled Temporal Association Patterns. CoRR abs/1604.05272 (2016) - [i2]M. S. B. Phridvi Raj, Vangipuram Radhakrishna, C. V. Guru Rao:
A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector. CoRR abs/1604.05274 (2016) - [i1]Vangipuram Radhakrishna:
Design and Analysis of Novel Kernel Measure for Software Fault Localization. CoRR abs/1605.01878 (2016) - 2015
- [c5]M. S. B. PhridviRaj, Vangipuram Radhakrishna, K. Vinay Kumar, C. V. Guru Rao:
A Novel Similarity Measure for Clustering Customer Transactions Using Ternary Sequence Vector. CSOC (1) 2015: 297-308 - 2014
- [c4]Vangipuram Radhakrishna, Chintakindi Srinivas, C. V. Guru Rao:
A modified Gaussian similarity measure for clustering software components and documents. ISDOC 2014: 99-104 - [c3]Chintakindi Srinivas, Vangipuram Radhakrishna, C. V. Guru Rao:
Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries. ITQM 2014: 1044-1050 - 2013
- [c2]Chintakindi Srinivas, Vangipuram Radhakrishna, C. V. Guru Rao:
Clustering Software Components for Component Reuse and Program Restructuring. ICCC 2013: 261 - [c1]Vangipuram Radhakrishna, Chintakindi Srinivas, C. V. Guru Rao:
Document Clustering Using Hybrid XOR Similarity Function for Efficient Software Component Reuse. ITQM 2013: 121-128
Coauthor Index
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