| CLAPP: A self constructing feature clustering approach for anomaly detection RK Gunupudi, M Nimmala, N Gugulothu, SR Gali Future Generation Computer Systems 74, 417-429, 2017 | 91 | 2017 |
| An approach for intrusion detection using novel gaussian based kernel function. GR Kumar, N Mangathayaru, G Narsimha J. Univers. Comput. Sci. 22 (4), 589-604, 2016 | 68 | 2016 |
| An improved k-Means Clustering algorithm for Intrusion Detection using Gaussian function GR Kumar, N Mangathayaru, G Narasimha Proceedings of the The International Conference on Engineering & MIS 2015, 1-7, 2015 | 59 | 2015 |
| Intrusion detection a text mining based approach G RajeshKumar, N Mangathayaru, G Narsimha arXiv preprint arXiv:1603.03837, 2016 | 45 | 2016 |
| Feature clustering for anomaly detection using improved fuzzy membership function GR Kumar, N Mangathayaru, G Narsimha, A Cheruvu Proceedings of the Fourth International Conference on Engineering & MIS 2018 …, 2018 | 39 | 2018 |
| A novel similarity measure for intrusion detection using gaussian function GR Kumar, N Mangathayaru, G Narsimha arXiv preprint arXiv:1604.07510, 2016 | 35 | 2016 |
| Intrusion detection using text processing techniques: a recent survey GR Kumar, N Mangathayaru, G Narasimha Proceedings of the The International Conference on Engineering & MIS 2015, 1-6, 2015 | 35 | 2015 |
| An approach for intrusion detection using text mining techniques GR Kumar, N Mangathayaru, G Narasimha Proceedings of the The International Conference on Engineering & MIS 2015, 1-6, 2015 | 33 | 2015 |
| Design of novel fuzzy distribution function for dimensionality reduction and intrusion detection GR Kumar, N Mangathayaru, G Narsimha 2016 International Conference on Engineering & MIS (ICEMIS), 1-6, 2016 | 31 | 2016 |
| An approach for intrusion detection using fuzzy feature clustering GR Kumar, N Mangathayaru, G Narsimha 2016 International Conference on Engineering & MIS (ICEMIS), 1-8, 2016 | 31 | 2016 |
| An approach to find missing values in medical datasets BM Bai, N Mangathayaru, BP Rani Proceedings of the The International Conference on Engineering & MIS 2015, 1-7, 2015 | 26 | 2015 |
| Evolutionary approach for intrusion detection GR Kumar, N Mangathayaru, G Narsimha, GS Reddy 2017 International Conference on Engineering & MIS (ICEMIS), 1-6, 2017 | 24 | 2017 |
| A FEATURE CLUSTERING BASED DIMENSIONALITY REDUCTION FOR INTRUSION DETECTION (FCBDR). GR Kumar, N Mangathayaru, G Narsimha IADIS International Journal on Computer Science & Information Systems 12 (1), 2017 | 24 | 2017 |
| Text mining based approach for intrusion detection N Mangathayaru, GR Kumar, G Narsimha 2016 International Conference on Engineering & MIS (ICEMIS), 1-5, 2016 | 23 | 2016 |
| Survey of text mining techniques, challenges and their applications NV Sailaja, L Padmasree, N Mangathayaru International Journal of Computer Applications 146 (11), 30-35, 2016 | 22 | 2016 |
| Credit card fraud detection using spark and machine learning techniques NV Krishna Rao, Y Harika Devi, N Shalini, A Harika, V Divyavani, ... Machine Learning Technologies and Applications: Proceedings of ICACECS 2020 …, 2021 | 20 | 2021 |
| Mathura (MBI)-A novel imputation measure for imputation of missing values in medical datasets BM Bai, N Mangathayaru, BP Rani, S Aljawarneh Recent Advances in Computer Science and Communications (Formerly: Recent …, 2021 | 13 | 2021 |
| An evolutionary feature clustering approach for anomaly detection using improved fuzzy membership function: feature clustering approach for anomaly detection GR Kumar, N Gugulothu, M Nimmala International Journal of Information Technology and Web Engineering (IJITWE …, 2019 | 13 | 2019 |
| Similarity function for intrusion detection GR Kumar, N Mangathayaru, G Narasimha Proceedings of the 5th International Conference on Engineering and MIS, 1-4, 2019 | 12 | 2019 |
| Evolution and prediction of radical multi-dimensional e-learning system with cluster based data mining techniques NVK Rao, N Mangathayaru, MS Rao 2017 International Conference on Trends in Electronics and Informatics (ICEI …, 2017 | 10 | 2017 |
GUNUPUDI RAJESH KUMARAssociate Professor, Department of IT, VNR Vignana Jyothi Institute ofΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα vnrvjiet.in
