| A survey of temporal data mining S Laxman, PS Sastry Sadhana 31 (2), 173-198, 2006 | 491 | 2006 |
| Discovering frequent patterns in sensitive data R Bhaskar, S Laxman, A Smith, A Thakurta Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 309 | 2010 |
| METHOD AND SYSTEM OF AN AUTOMATICALLY MANAGED CALENDAR AND CONTEXTUAL TASK LIST S Rao, S Laxman, S Mittal US Patent 20,160,086,116, 2016 | 234 | 2016 |
| A fast algorithm for finding frequent episodes in event streams S Laxman, PS Sastry, KP Unnikrishnan Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 184 | 2007 |
| Discovering frequent episodes and learning hidden markov models: A formal connection S Laxman, PS Sastry, KP Unnikrishnan IEEE Transactions on Knowledge and Data Engineering 17 (11), 1505-1517, 2005 | 176 | 2005 |
| Noiseless database privacy R Bhaskar, A Bhowmick, V Goyal, S Laxman, A Thakurta International Conference on the Theory and Application of Cryptology and …, 2011 | 116 | 2011 |
| Stream prediction using a generative model based on frequent episodes in event sequences S Laxman, V Tankasali, RW White Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 108 | 2008 |
| Discovering frequent generalized episodes when events persist for different durations S Laxman, PS Sastry, KP Unnikrishnan IEEE Transactions on Knowledge and Data Engineering 19 (9), 1188-1201, 2007 | 86 | 2007 |
| A unified view of the apriori-based algorithms for frequent episode discovery A Achar, S Laxman, PS Sastry Knowledge and information systems 31 (2), 223-250, 2012 | 73 | 2012 |
| Transparent virtual currency using verifiable tokens S Guha, R Bhaskar, S Laxman, P Naldurg US Patent App. 13/159,224, 2012 | 58 | 2012 |
| System and method for mining of temporal data PS Sastry, S Laxman, KP Unnikrishnan US Patent 7,644,078, 2010 | 52 | 2010 |
| Unsupervised query segmentation using only query logs N Mishra, R Saha Roy, N Ganguly, S Laxman, M Choudhury Proceedings of the 20th international conference companion on World wide web …, 2011 | 50 | 2011 |
| Root cause diagnostics using temporal data mining KP Unnikrishnan, BQ Shadid, PS Sastry, S Laxman US Patent 7,509,234, 2009 | 45 | 2009 |
| Lexical co-occurrence, statistical significance, and word association DL Chaudhari, OP Damani, S Laxman Proceedings of the Conference on Empirical Methods in Natural Language …, 2011 | 44 | 2011 |
| Combining resilient classifiers S Laxman, R Venkatesan US Patent 7,873,583, 2011 | 39 | 2011 |
| Discovering injective episodes with general partial orders A Achar, S Laxman, R Viswanathan, PS Sastry Data Mining and Knowledge Discovery 25 (1), 67-108, 2012 | 38 | 2012 |
| Discovering frequent episodes: fast algorithms, connections with HMMs and generalizations S Laxman Indian Institute of Science Bangalore, 2006 | 38 | 2006 |
| Programming element modification recommendation S Laxman, PG Naldurg, N Nagappan, JA Czerwonka US Patent App. 12/471,006, 2009 | 37 | 2009 |
| Efficient episode mining of dynamic event streams D Patnaik, S Laxman, B Chandramouli, N Ramakrishnan Data Mining (ICDM), 2012 IEEE 12th International Conference on, 605-614, 2012 | 35 | 2012 |
| Efficient episode mining of dynamic event streams D Patnaik, S Laxman, B Chandramouli, N Ramakrishnan 2012 IEEE 12th International Conference on Data Mining, 605-614, 2012 | 35 | 2012 |
