| Finding calendar-based periodic patterns AK Mahanta, FA Mazarbhuiya, HK Baruah Pattern Recognition Letters 29 (9), 1274-1284, 2008 | 64 | 2008 |
| Finding locally and periodically frequent sets and periodic association rules AK Mahanta, FA Mazarbhuiya, HK Baruah Pattern Recognition and Machine Intelligence: First International Conference …, 2005 | 47 | 2005 |
| Anomaly Detection Using Agglomerative Hierarchical Clustering Algorithm MYAZLG F. A. Mazarbhuiya ICISA 2018, Lecture Notes on Electrical Engineering (LNEE) 514, 475-484, 2018 | 27 | 2018 |
| Solution of the fuzzy equation A+ X= B using the method of superimposition FA Mazarbhuiya, AK Mahanta, HK Baruah Applied Mathematics 2 (8), 1039-1045, 2011 | 17 | 2011 |
| A survey of data mining techniques on medical data for finding temporally frequent diseases MA Khaleel, SK Pradhan, GN Dash, FA Mazarbhuiya International Journal of Advanced Research in Computer and Communication …, 2013 | 16 | 2013 |
| Detecting anomaly using partitioning clustering with merging FA Mazarbhuiya, MY Alzahrani, AK Mahanta ICIC Express Lett 14, 951-960, 2020 | 14 | 2020 |
| Clustering periodic frequent patterns using fuzzy statistical parameters FA Mazarbhuiya, M Abulaish INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 8 (3 B …, 2012 | 14 | 2012 |
| The expected value of a fuzzy number M Shenify, FA Mazarbhuiya International Journal of Intelligence Science 5 (1), 1-5, 2015 | 13 | 2015 |
| An extensive investigate the mapreduce technology Y Perwej, M Husamuddin, F Mazarbhuiya International Journal of Computer Sciences and Engineering 5, 218-225, 2017 | 8 | 2017 |
| Finding local and periodic association rules from fuzzy temporal data FA Mazarbhuiya, M Shenify, M Husamuddin The 2014 International Conference on Advances in Big Data Analytics, 21-24, 2014 | 8 | 2014 |
| A mixed clustering approach for real-time anomaly detection FA Mazarbhuiya, M Shenify Applied Sciences 13 (7), 4151, 2023 | 7 | 2023 |
| Detecting anomaly using neighborhood rough set based classification approach FA Mazarbhuiya ICIC Express Lett 17, 73-80, 2023 | 7 | 2023 |
| Discovering sequential patterns from medical datasets MY Alzahrani, FA Mazarbhuiya 2016 International Conference on Computational Science and Computational …, 2016 | 6 | 2016 |
| Detecting IoT Anomaly Using Rough Set and Density Based Subspace Clustering FA Mazarbhuiya ICIC Express Letters, Forthcoming, 2022 | 5 | 2022 |
| Finding Sequential Patterns from Temporal Datasets FA Mazarbhuiya, AK Mahanta, HK Baruah DMIN 2010: proceedings of the 2010 international conference on data mining …, 2010 | 5 | 2010 |
| Mining local patterns from fuzzy temporal data FA Mazarbhuiya International Journal of Engineering and Applied Sciences (IJEAS), ISSN …, 2016 | 4 | 2016 |
| The Mining Hourly Fuzzy Patterns from Temporal Datasets FA Mazarbhuiya, Y Perwej International Journal of Engineering Research & Technology (IJERT), ISSN …, 2015 | 4 | 2015 |
| Discovering yearly fuzzy patterns FA Mazarbhuiya International Journal of Computer Science and Information Security 12 (9), 7, 2014 | 4 | 2014 |
| Mining local association rules from temporal data set FA Mazarbhuiya, M Abulaish, AK Mahanta, T Ahmad Pattern Recognition and Machine Intelligence: Third International Conference …, 2009 | 4 | 2009 |
| Real-Time Anomaly Detection with Subspace Periodic Clustering Approach FA Mazarbhuiya, M Shenify Applied Sciences 13 (13), 7382, 2023 | 3 | 2023 |
Anjana Kakoti MahantaProfessor of Computer Science, Gauhati University在 gauhati.ac.in 的电子邮件经过验证
