Balaji Padmanabhan
Balaji Padmanabhan
Dean's Professor of Decision, Operations & Information Technologies at University of Maryland
Verified email at - Homepage
Cited by
Cited by
A Belief-Driven Method for Discovering Unexpected Patterns.
B Padmanabhan, A Tuzhilin
KDD 98, 94-100, 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
Unexpectedness as a measure of interestingness in knowledge discovery
B Padmanabhan, A Tuzhilin
Decision Support Systems 27 (3), 303-318, 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
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
On the use of optimization for data mining: Theoretical interactions and eCRM opportunities
B Padmanabhan, A Tuzhilin
Management Science 49 (10), 1327-1343, 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
An empirical analysis of the value of complete information for eCRM models
B Padmanabhan, Z Zheng, SO Kimbrough
Mis Quarterly, 247-267, 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
On active learning for data acquisition
Z Zheng, B Padmanabhan
2002 IEEE International Conference on Data Mining, 2002. Proceedings., 562-569, 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
Pattern Discovery in Temporal Databases: A Temporal Logic Approach.
B Padmanabhan, A Tuzhilin
KDD, 351-354, 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
Knowledge refinement based on the discovery of unexpected patterns in data mining
B Padmanabhan, A Tuzhilin
Decision Support Systems 33 (3), 309-321, 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
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
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
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
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
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
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