B. Padmanabhan

发表

Zhiqiang Zheng, Balaji Padmanabhan, Zhiqiang Zheng, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Unexpectedness as a Measure of Interestingness in Knowledge Discovery

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 1999, Decis. Support Syst..

Knowledge Management Meets Data Mining : An Approach to Knowledge-Driven Knowledge Discovery

B. Padmanabhan, 2000 .

The Interestingness Paradox in Pattern Discovery

B. Padmanabhan, 2004 .

Applying Behavioral Economics in Predictive Analytics for B2B Churn: Findings from Service Quality Data

A. Hevner, B. Padmanabhan, Arash Barfar, 2016 .

From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data

P. Fader, Zhiqiang Zheng, B. Padmanabhan, 2011, Inf. Syst. Res..

Can Recommender Systems Reduce Healthcare Costs? The Role of Time Pressure and Cost Transparency in Prescription Choice

Balaji Padmanabhan, Kaushal Chari, Lina Bouayad, 2020, MIS Q..

Call for Papers - Special Issue of Information Systems Research - Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

Balaji Padmanabhan, Paul A. Pavlou, Raghu T. Santanam, 2018, Inf. Syst. Res..

Emergent Sentiment in Financial Markets: Sentiment Flow from Social Media to Mass Media

J. Nickerson, B. Padmanabhan, Jie Ren, 2019, SSRN Electronic Journal.

Weibo vs Wall Street Journal: How are Social & Mass Media Different in the Stock Market?

J. Nickerson, B. Padmanabhan, Jie Ren, 2019, SSRN Electronic Journal.

Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

Balaji Padmanabhan, Paul A. Pavlou, T. S. Raghu, 2021, Inf. Syst. Res..

Multimedia Appendix Correction: Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions

Balaji Padmanabhan, Lina Bouayad, Anna Ialynytchev, 2019, Journal of medical Internet research.

Balaji Padmanabhan, Stephen Luther, William Becker, 2016, AMIA.

Reducing Healthcare Costs through Medical Recommendations

Balaji Padmanabhan, Kaushal Chari, Lina Bouayad, 2015, AMIA.

The Development of a Multidimensional Engagement Measure

Balaji Padmanabhan, Paul E. Spector, Gert-Jan de Vreede, 2018, AMCIS.

Deep Learning for Information Systems Research pdf

Balaji Padmanabhan, Sagar Samtani, Yidong Chai, 2020, J. Manag. Inf. Syst..

Taming the Complexity in Search Matching: Two-Sided Recommender Systems on Digital Platforms

Balaji Padmanabhan, Moez Limayem, He Zhang, 2020, MIS Q..

VOTE: Decision Simulation

Balaji Padmanabhan, Stephen Slade, Ravi Arunkundram, 1996 .

Web Living Case: A Web Based Business Case Delivery System for Collaborative Work

Balaji Padmanabhan, Jon Turner, Raghav Madhavan, 1996, International Conference on Interaction Sciences.

Deterrence-Driven Algorithms for Audit Under the Sentinel Effect

K. Chari, B. Padmanabhan, Lina Bouayad, 2017 .

A New Heterogeneous Graph Representation in a Social Media Platform: Steemit

B. Padmanabhan, Negar Maleki, 2022, 2209.03144.

Managing Digital Platforms with Robust Multi-Sided Recommender Systems

M. Limayem, B. Padmanabhan, Onkar Malgonde, 2022, J. Manag. Inf. Syst..

An Empirical Analysis of the Value of Complete Information for eCRM Models

Zhiqiang Zheng, Balaji Padmanabhan, Steven Orla Kimbrough, 2006, MIS Q..

On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining

Zhiqiang Zheng, Balaji Padmanabhan, Steven Orla Kimbrough, 2003, INFORMS J. Comput..

Personalization from incomplete data: what you don't know can hurt

Zhiqiang Zheng, Balaji Padmanabhan, Steven Orla Kimbrough, 2001, KDD '01.

On Usage Metrics for Determining Authoritative Sites

Balaji Padmanabhan, Steven O. Kimbrough, Zhi Zheng, 2000 .

On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2003, Manag. Sci..

Peak cubes in service operations: Bringing multidimensionality into decision support systems

Arash Barfar, Balaji Padmanabhan, Alan R. Hevner, 2021, Decis. Support Syst..

Generating Original Structure in Regulatory Documents

Balaji Padmanabhan, Steven Orla Kimbrough, Yinghui Yang, 2003, DG.O.

Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution

Zhiqiang Zheng, Balaji Padmanabhan, Zhiqiang Zheng, 2006, Manag. Sci..

How does social media sentiment impact mass media sentiment? A study of news in the financial markets

J. Nickerson, B. Padmanabhan, Jie Ren, 2019, J. Assoc. Inf. Sci. Technol..

Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions

Balaji Padmanabhan, Lina Bouayad, Anna Ialynytchev, 2017, Journal of medical Internet research.

Evaluation of Online Personalization Systems: A Survey of Evaluation Schemes and a Knowledge-Based Approach

Balaji Padmanabhan, Yinghui Yang, B. Padmanabhan, 2005 .

Knowledge refinement based on the discovery of unexpected patterns in data mining

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2002, Decis. Support Syst..

Profit-Optimal Model and Target Size Selection with Variable Marginal Costs

Balaji Padmanabhan, B. Padmanabhan, A. Abrahams, 2004 .

Finding unexpected patterns in data

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2002 .

Do social features help in video-centric online learning platforms? A social presence perspective

Balaji Padmanabhan, Paul E. Spector, Gert-Jan de Vreede, 2020, Comput. Hum. Behav..

On Characterization and Discovery of Minimal Unexpected Patterns in Data Mining Applications

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2003 .

A Belief-Driven Method for Discovering Unexpected Patterns

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 1998, KDD.

Balaji Padmanabhan, Shankar Prawesh, B. Padmanabhan, 2014, Inf. Syst. Res..

A process model for information retrieval context learning and knowledge discovery

Harvey S. Hyman, T. Sincich, M. Agrawal, 2015, Artificial Intelligence and Law.

Probabilistic news recommender systems with feedback

Balaji Padmanabhan, Shankar Prawesh, B. Padmanabhan, 2012, RecSys.

The "top N" news recommender: count distortion and manipulation resistance

Balaji Padmanabhan, Shankar Prawesh, B. Padmanabhan, 2011, RecSys '11.

How are social and mass media different in relation to the stock market? A study on topic coverage and predictive value

J. Nickerson, J. Ren, B. Padmanabhan, 2021, Inf. Manag..

What is Engagement and How Do We Measure It? Toward a Domain Independent Definition and Scale

Balaji Padmanabhan, Paul E. Spector, Gert-Jan de Vreede, 2019, HICSS.

Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach

Balaji Padmanabhan, Xiaoyu Wang, Yinghui Yang, 2012, INFORMS J. Comput..

Audit Policies Under the Sentinel Effect: Deterrence-Driven Algorithms

Balaji Padmanabhan, Kaushal Chari, Lina Bouayad, 2019, Inf. Syst. Res..

Small is beautiful: discovering the minimal set of unexpected patterns

Balaji Padmanabhan, Alexander Tuzhilin, A. Tuzhilin, 2000, KDD '00.

On the discovery of significant statistical quantitative rules

Balaji Padmanabhan, Hong Zhang, Alexander Tuzhilin, 2004, KDD.

SCENE: a scalable two-stage personalized news recommendation system

Balaji Padmanabhan, Tao Li, Lei Li, 2011, SIGIR.

Constructing Ensembles from Data Envelopment Analysis

Zhiqiang Zheng, Balaji Padmanabhan, Zhiqiang Zheng, 2007, INFORMS J. Comput..

Pattern discovery, validation, and online experiments: a methodology for discovering television shows for public health announcements

Arash Barfar, Balaji Padmanabhan, B. Padmanabhan, 2020, J. Am. Medical Informatics Assoc..

Machine learning for psychiatric patient triaging: an investigation of cascading classifiers

Balaji Padmanabhan, Vivek Kumar Singh, Utkarsh Shrivastava, 2018, J. Am. Medical Informatics Assoc..

From information to operations: Service quality and customer retention

Balaji Padmanabhan, Alan R. Hevner, Michael Cuenco, 2011, TMIS.

Applying Behavioral Economics in Predictive Analytics for B2B Churn: Findings from Service Quality Data

A. Hevner, B. Padmanabhan, Arash Barfar, 2016, Decis. Support Syst..

A DEA approach for model combination

Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng, 2004, KDD.

A complex systems perspective of news recommender systems: Guiding emergent outcomes with feedback models

B. Padmanabhan, Shankar Prawesh, 2021, PloS one.

Robust AI-enabled Simulation of Treatment Paths with Markov Decision Process for Breast Cancer Patients

I. El Naqa, B. Padmanabhan, Abigail Beard, 2023, 2023 IEEE Conference on Artificial Intelligence (CAI).

Learning individual preferences from aggregate data: A genetic algorithm for discovering baskets of television shows with affinities to political and social interests

Arash Barfar, Balaji Padmanabhan, B. Padmanabhan, 2020, Expert Syst. Appl..

Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda

Balaji Padmanabhan, T. S. Raghu, Wolfgang Ketter, 2020, J. Assoc. Inf. Syst..

Panel: Digital Resilience During Covid: Fleeting or Enduring

S. Viswanathan, Arun Rai, O. Henfridsson, 2021, ICIS.

Goal attainment on long tail web sites: An information foraging approach

B. Padmanabhan, J.A. McCart, D.J. Berndt, 2013, Decis. Support Syst..

Patient Health Record Systems Scope and Functionalities: Literature Review and Future Directions

B. Padmanabhan, Anna Ialynytchev, Lina Bouayad, 2017, Journal of medical Internet research.