Chidanand Apté

35 papers A* 7B 1C 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2013 J jnl
Analyzing analytics.
SIGMOD Rec.
Rajesh Bordawekar, Bob Blainey, Chidanand Apté
2010 — conf
Predictive rule discovery from electronic health records.
IHI
Sholom M. Weiss, Nitin Indurkhya, Chidanand Apté
2006 C conf
Using secure coprocessors for privacy preserving collaborative data mining and analysis.
DaMoN
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apté
2005 — ed.
Pattern Recognition and Data Mining, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part I
ICAPR (1)
Peng Wang, Maneesha Singh, Chidanand Apté, Petra Perner
2005 — ed.
Pattern Recognition and Image Analysis, Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II
ICAPR (2)
Peng Wang, Maneesha Singh, Chidanand Apté, Petra Perner
2004 A* conf
Cross channel optimized marketing by reinforcement learning.
KDD
Naoki Abe, Naval K. Verma, Chidanand Apté, Robert Schroko
2003 J jnl
Data-intensive analytics for predictive modeling.
IBM J. Res. Dev.
Chidanand Apté, Se June Hong, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Sholom M. Weiss
2002 J jnl
A probabilistic estimation framework for predictive modeling analytics.
IBM Syst. J.
Chidanand Apté, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu
2002 J jnl
Automated generation of model cases for help-desk applications.
IBM Syst. J.
Sholom M. Weiss, Chidanand Apté
2002 J jnl
Business applications of data mining.
Commun. ACM
Chidanand Apté, Bing Liu, Edwin P. D. Pednault, Padhraic Smyth
2002 A* conf
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing.
ICDM
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté
2002 J jnl
Predictive algorithms in the management of computer systems.
IBM Syst. J.
Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss
2001 A* conf
Segmentation-based modeling for advanced targeted marketing.
KDD
Chidanand Apté, Eric Bibelnieks, Ramesh Natarajan, Edwin P. D. Pednault, Fateh Tipu, Deb Campbell, Bryan Nelson
2000 J jnl
AI at IBM Research.
IEEE Intell. Syst.
Chidanand Apté, Leora Morgenstern, Se June Hong
2000 A* conf
Active learning using adaptive resampling.
KDD
Vijay S. Iyengar, Chidanand Apté, Tong Zhang
2000 — conf
Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set.
PKDD
Petra Perner, Chidanand Apté
2000 — conf
Leightweight Document Clustering.
PKDD
Sholom M. Weiss, Brian F. White, Chidanand Apté
2000 J jnl
Lightweight Document Matching for Help-Desk Applications.
IEEE Intell. Syst.
Sholom M. Weiss, Brian F. White, Chidanand Apté, Fred Damerau
2000 — conf
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection.
DSOM
Ricardo Vilalta, Chidanand Apté, Sholom M. Weiss
1999 J jnl
Maximizing text-mining performance.
IEEE Intell. Syst.
Sholom M. Weiss, Chidanand Apté, Fred J. Damerau, David E. Johnson, Frank J. Oles, Thilo Götz, Thomas Hampp
1999 J jnl
Probabilistic estimation-based data mining for discovering insurance risks.
IEEE Intell. Syst.
Chidanand Apté, Edna Grossman, Edwin P. D. Pednault, Barry K. Rosen, Fateh Tipu, Brian F. White
1998 J jnl
Decomposition of Heterogeneous Classification Problems.
Intell. Data Anal.
Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen
1997 J jnl
Data mining with decision trees and decision rules.
Future Gener. Comput. Syst.
Chidanand Apté, Sholom M. Weiss
1997 B conf
Decomposition of Heterogeneous Classification Problems.
IDA
Chidanand Apté, Se June Hong, Jonathan R. M. Hosking, Jorge Lepre, Edwin P. D. Pednault, Barry K. Rosen
1996 — ch.
Predicting Equity Returns from Securities Data.
Advances in Knowledge Discovery and Data Mining
Chidanand Apté, Se June Hong
1994 J jnl
Automated Learning of Decision Rules for Text Categorization.
ACM Trans. Inf. Syst.
Chidanand Apté, Fred Damerau, Sholom M. Weiss
1994 J jnl
Case studies in high-dimensional classification.
Appl. Intell.
Chidanand Apté, Raguram Sasisekharan, V. Seshadri, Sholom M. Weiss
1994 — conf
Predicting Equity Returns from Securities Data with Minimal Rule Generation.
KDD Workshop
Chidanand Apté, Se June Hong
1994 A* conf
Towards Language Independent Automated Learning of Text Categorisation Models.
SIGIR
Chidanand Apté, Fred Damerau, Sholom M. Weiss
1992 J jnl
An experiment in constructing an open expert system using a knowledge substrate.
IBM J. Res. Dev.
Chidanand Apté, Robert Dionne, James H. Griesmer, Maurice Karnaugh, John K. Kastner, Meir Laker, Eric Keener Mays
1987 J jnl
Organizing Knowledge in a Complex Financial Domain.
IEEE Expert
Eric Mays, Chidanand Apté, James H. Griesmer, John K. Kastner
1986 J jnl
A Knowledge-Based Consultant for Financial Marketing.
AI Mag.
John K. Kastner, Chidanand Apté, James H. Griesmer, Se June Hong, Maurice Karnaugh, Eric Mays, Yoshio Tozawa
1986 A* conf
Using Qualitative Reasoning to Understand Financial Arithmetic.
AAAI
Chidanand Apté, Se June Hong
1985 J jnl
An Approach to Expert Control of Interactive Software Systems.
IEEE Trans. Pattern Anal. Mach. Intell.
Chidanand Apté, Sholom M. Weiss
1982 A* conf
Building Expert Systems for Controlling Complex Programs.
AAAI
Sholom M. Weiss, Casimir A. Kulikowski, Chidanand Apté, Michael Uschold, Jay Patchett, Robert Brigham, Belynda Spitzer