| A Belief-Driven Method for Discovering Unexpected Patterns. B Padmanabhan, A Tuzhilin KDD 98, 94-100, 1998 | 396 | 1998 |
| Scene: a scalable two-stage personalized news recommendation system L Li, D Wang, T Li, D Knox, B Padmanabhan Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 310 | 2011 |
| Unexpectedness as a measure of interestingness in knowledge discovery B Padmanabhan, A Tuzhilin Decision Support Systems 27 (3), 303-318, 1999 | 293 | 1999 |
| Small is beautiful: discovering the minimal set of unexpected patterns B Padmanabhan, A Tuzhilin Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 202 | 2000 |
| Do social features help in video-centric online learning platforms? A social presence perspective SA Andel, T de Vreede, PE Spector, B Padmanabhan, VK Singh, ... Computers in Human Behavior 113, 106505, 2020 | 192 | 2020 |
| On the use of optimization for data mining: Theoretical interactions and eCRM opportunities B Padmanabhan, A Tuzhilin Management Science 49 (10), 1327-1343, 2003 | 149 | 2003 |
| Personalization from incomplete data: What you don't know can hurt B Padmanabhan, Z Zheng, SO Kimbrough Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001 | 110 | 2001 |
| An empirical analysis of the value of complete information for eCRM models B Padmanabhan, Z Zheng, SO Kimbrough Mis Quarterly, 247-267, 2006 | 104 | 2006 |
| On the discovery of significant statistical quantitative rules H Zhang, B Padmanabhan, A Tuzhilin Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 101 | 2004 |
| On active learning for data acquisition Z Zheng, B Padmanabhan 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 562-569, 2002 | 98 | 2002 |
| From business intelligence to competitive intelligence: Inferring competitive measures using augmented site-centric data Z Zheng, P Fader, B Padmanabhan Information Systems Research 23 (3-part-1), 698-720, 2012 | 93 | 2012 |
| Pattern Discovery in Temporal Databases: A Temporal Logic Approach. B Padmanabhan, A Tuzhilin KDD, 351-354, 1996 | 84 | 1996 |
| Selectively acquiring customer information: A new data acquisition problem and an active learning-based solution Z Zheng, B Padmanabhan Management Science 52 (5), 697-712, 2006 | 81 | 2006 |
| Knowledge refinement based on the discovery of unexpected patterns in data mining B Padmanabhan, A Tuzhilin Decision Support Systems 33 (3), 309-321, 2002 | 79 | 2002 |
| The identification and satisfaction of consumer analysis‐driven information needs of marketers on the WWW S Sen, B Padmanabhan, A Tuzhilin, NH White, R Stein European Journal of Marketing 32 (7/8), 688-702, 1998 | 75 | 1998 |
| Editorial for the special section on humans, algorithms, and augmented intelligence: The future of work, organizations, and society H Jain, B Padmanabhan, P Pavlou, TS Raghu Information Systems Research 32 (3), 675-687, 2021 | 73 | 2021 |
| Evaluation of online personalization systems: A survey of evaluation schemes and a knowledge-based approach Y Yang, B Padmanabhan Journal of Electronic Commerce Research 6 (2), 112, 2005 | 69 | 2005 |
| Patient health record systems scope and functionalities: literature review and future directions L Bouayad, A Ialynytchev, B Padmanabhan Journal of medical Internet research 19 (11), e388, 2017 | 65 | 2017 |
| On characterization and discovery of minimal unexpected patterns in rule discovery B Padmanabhan, A Tuzhilin IEEE Transactions on Knowledge and Data Engineering 18 (2), 202-216, 2005 | 65 | 2005 |
| GHIC: A hierarchical pattern-based clustering algorithm for grouping Web transactions Y Yang, B Padmanabhan IEEE Transactions on knowledge and data Engineering 17 (9), 1300-1304, 2005 | 60 | 2005 |
