| Advances in Knowledge Discovery and Data Mining, Part II: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part II PN Tan, S Chawla, CK Ho, J Bailey Springer, 2012 | 455* | 2012 |
| Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets A Mangalampalli, V Pudi 2009 IEEE international conference on fuzzy systems, 1163-1168, 2009 | 97 | 2009 |
| Autolearn—Automated feature generation and selection A Kaul, S Maheshwary, V Pudi 2017 IEEE International Conference on data mining (ICDM), 217-226, 2017 | 84 | 2017 |
| Paper2vec: Combining graph and text information for scientific paper representation S Ganguly, V Pudi European conference on information retrieval, 383-395, 2017 | 70 | 2017 |
| Class based weighted k-nearest neighbor over imbalance dataset H Dubey, V Pudi Pacific-Asia conference on knowledge discovery and data mining, 305-316, 2013 | 61 | 2013 |
| Sequential variational autoencoders for collaborative filtering N Sachdeva, G Manco, E Ritacco, V Pudi Proceedings of the twelfth ACM international conference on web search and …, 2019 | 50 | 2019 |
| Predicting the Outcome of ODI Cricket Matches: A Team Composition Based Approach. MG Jhanwar, V Pudi MLSA@ PKDD/ECML, 2016 | 47 | 2016 |
| Frequent itemset based hierarchical document clustering using wikipedia as external knowledge K GVR, R Shankar, V Pudi International Conference on Knowledge-based and Intelligent Information and …, 2010 | 43 | 2010 |
| Author2vec: Learning author representations by combining content and link information J Ganesh, S Ganguly, M Gupta, V Varma, V Pudi WWW (Companion volume), 2016 | 40 | 2016 |
| Disc: Data-intensive similarity measure for categorical data A Desai, H Singh, V Pudi Pacific-Asia Conference on Knowledge Discovery and Data Mining, 469-481, 2011 | 38 | 2011 |
| Data Mining: Concepts and Techniques V Pudi Oxford University press, 2008 | 37 | 2008 |
| Deep secure: A fast and simple neural network based approach for user authentication and identification via keystroke dynamics S Maheshwary, S Ganguly, V Pudi IWAISe: First International Workshop on Artificial Intelligence in Security 59, 2017 | 36 | 2017 |
| Attentive neural architecture incorporating song features for music recommendation N Sachdeva, K Gupta, V Pudi Proceedings of the 12th ACM Conference on Recommender Systems, 417-421, 2018 | 35 | 2018 |
| Quantifying the utility of the past in mining large databases V Pudi, JR Haritsa Information Systems 25 (5), 323-343, 2000 | 34 | 2000 |
| Using prefix-trees for efficiently computing set joins R Jampani, V Pudi International Conference on Database Systems for Advanced Applications, 761-772, 2005 | 31 | 2005 |
| ARMOR: Association Rule Mining based on ORacle. V Pudi, JR Haritsa FIMI, 2003 | 31 | 2003 |
| An efficient algorithm for ranking research papers based on citation network AP Singh, K Shubhankar, V Pudi 2011 3rd Conference on data mining and optimization (DMO), 88-95, 2011 | 30 | 2011 |
| FPrep: Fuzzy clustering driven efficient automated pre-processing for fuzzy association rule mining A Mangalampalli, V Pudi International Conference on Fuzzy Systems, 1-8, 2010 | 28 | 2010 |
| A frequent keyword-set based algorithm for topic modeling and clustering of research papers K Shubankar, AP Singh, V Pudi 2011 3rd Conference on Data Mining and Optimization (DMO), 96-102, 2011 | 27 | 2011 |
| A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns A Mangalampalli, A Ratnaparkhi, AO Hatch, A Bagherjeiran, R Parekh, ... Proceedings of the 20th international conference companion on World wide web …, 2011 | 26 | 2011 |
Ashish MangalampalliMicrosoftVerified email at microsoft.com
