A Belief-Driven Method for Discovering Unexpected Patterns. B Padmanabhan, A Tuzhilin KDD 98, 94-100, 1998 | 393 | 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 | 325 | 2011 |
Unexpectedness as a measure of interestingness in knowledge discovery B Padmanabhan, A Tuzhilin Decision Support Systems 27 (3), 303-318, 1999 | 295 | 1999 |
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 | 224 | 2020 |
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 | 203 | 2000 |
On the use of optimization for data mining: Theoretical interactions and eCRM opportunities B Padmanabhan, A Tuzhilin Management Science 49 (10), 1327-1343, 2003 | 155 | 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 | 115 | 2001 |
An empirical analysis of the value of complete information for eCRM models B Padmanabhan, Z Zheng, SO Kimbrough Mis Quarterly, 247-267, 2006 | 105 | 2006 |
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 | 104 | 2021 |
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 | 100 | 2004 |
On active learning for data acquisition Z Zheng, B Padmanabhan 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 562-569, 2002 | 100 | 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 | 98 | 2012 |
Building digital resilience against major shocks W Boh, P Constantinides, B Padmanabhan, S Viswanathan Mis Quarterly 47 (1), 343-360, 2023 | 92 | 2023 |
Pattern Discovery in Temporal Databases: A Temporal Logic Approach. B Padmanabhan, A Tuzhilin KDD, 351-354, 1996 | 86 | 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 | 85 | 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 | 78 | 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 | 74 | 1998 |
Machine Learning in Information Systems Research. B Padmanabhan, X Fang, N Sahoo, A Burton-Jones MIS Quarterly 46 (1), 2022 | 73 | 2022 |
Call for Papers—Special Issue of Information Systems Research—Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society H Jain, B Padmanabhan, PA Pavlou, RT Santanam Information Systems Research 29 (1), 250-251, 2018 | 70 | 2018 |
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 | 69 | 2017 |