G-SPAMINE: An approach to discover temporal association patterns and trends in internet of things SA Aljawarneh, R Vangipuram, VK Puligadda, J Vinjamuri Future Generation Computer Systems 74, 430-443, 2017 | 167 | 2017 |
GARUDA: Gaussian dissimilarity measure for feature representation and anomaly detection in Internet of things SA Aljawarneh, R Vangipuram The Journal of Supercomputing 76 (6), 4376-4413, 2020 | 119 | 2020 |
A novel fuzzy gaussian-based dissimilarity measure for discovering similarity temporal association patterns V Radhakrishna, SA Aljawarneh, PV Kumar, KKR Choo Soft Computing 22, 1903-1919, 2018 | 107 | 2018 |
A novel fuzzy similarity measure and prevalence estimation approach for similarity profiled temporal association pattern mining V Radhakrishna, SA Aljawarneh, PV Kumar, V Janaki Future generation computer systems 83, 582-595, 2018 | 92 | 2018 |
A similarity measure for temporal pattern discovery in time series data generated by IoT S Aljawarneh, V Radhakrishna, PV Kumar, V Janaki 2016 International conference on engineering & MIS (ICEMIS), 1-4, 2016 | 85 | 2016 |
Mining outlier temporal association patterns V Radhakrishna, PV Kumar, V Janaki Proceedings of the Second International Conference on Information and …, 2016 | 75* | 2016 |
ASTRA-A Novel interest measure for unearthing latent temporal associations and trends through extending basic gaussian membership function V Radhakrishna, SA Aljawarneh, P Veereswara Kumar, V Janaki Multimedia Tools and Applications 78 (4), 4217-4265, 2019 | 70 | 2019 |
VRKSHA: A Novel Multi-Tree Based Sequential Approach for Seasonal Pattern Mining AC Shadi Aljawarneh, V. Radhakrishna Published in: ˇ Proceeding ICEMIS '18 Proceedings of the Fourth …, 2018 | 60* | 2018 |
A similarity measure for outlier detection in timestamped temporal databases V Radhakrishna, PV Kumar, V Janaki, S Aljawarneh 2016 international conference on engineering & MIS (ICEMIS), 1-5, 2016 | 58 | 2016 |
A Novel Similar Temporal System Call Pattern Mining for Efficient Intrusion Detection. V Radhakrishna, PV Kumar, V Janaki J. Univers. Comput. Sci. 22 (4), 475-493, 2016 | 57 | 2016 |
Similarity based feature transformation for network anomaly detection A Nagaraja, U Boregowda, K Khatatneh, R Vangipuram, R Nuvvusetty, ... IEEE Access 8, 39184-39196, 2020 | 56 | 2020 |
A machine learning approach for imputation and anomaly detection in IoT environment R Vangipuram, RK Gunupudi, VK Puligadda, J Vinjamuri Expert Systems 37 (5), e12556, 2020 | 54 | 2020 |
GANDIVA - Time Profiled Temporal Pattern Tree V Radhakrishna, PV Kumar, V Janaki, SA Aljawarneh ICEMIS '18 Proceedings of the Fourth International Conference on Engineering …, 2018 | 53 | 2018 |
Using normal distribution to retrieve temporal associations by Euclidean distance NR Aravind Cheruvu, V. Radhakrishna IEEE ICEMIS 2017, 1-3, 2018 | 53* | 2018 |
Clustering and classification of software component for efficient component retrieval and building component reuse libraries C Srinivas, V Radhakrishna, CVG Rao Procedia Computer Science 31, 1044-1050, 2014 | 53 | 2014 |
A survey on temporal databases and data mining V Radhakrishna, PV Kumar, V Janaki Proceedings of the The International Conference on Engineering & MIS 2015, 1-6, 2015 | 52 | 2015 |
An approach for mining similarity profiled temporal association patterns using Gaussian based dissimilarity measure V Radhakrishna, PV Kumar, V Janaki Proceedings of the The International Conference on Engineering & MIS 2015, 1-6, 2015 | 52 | 2015 |
Mantra: a novel imputation measure for disease classification and prediction S Aljawarneh, V Radhakrishna, GS Reddy Proceedings of the first international conference on data science, E …, 2018 | 51 | 2018 |
Design and analysis of a novel temporal dissimilarity measure using Gaussian membership function SAAVJ V. Radhakrishna, P. V. Kumar 2017 International Conference on Engineering & MIS (ICEMIS), Monastir …, 2018 | 51* | 2018 |
Estimating prevalence bounds of temporal association patterns to discover temporally similar patterns V Radhakrishna, PV Kumar, V Janaki, N Rajasekhar International Conference on Soft Computing-MENDEL, 209-220, 2016 | 51 | 2016 |