Predicting Equity Returns from Securities Data (1995)

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by C. Apte , Se June Hong
Citations:28 - 5 self

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10 RAMP: Rules Abstraction for Modeling and Prediction – Chidanand Apte, C. Apte, S. J. Hong, Jorge Lepre, and Barry Rosen, S. Prasad, B. Rosen, Se June Hong, Jorge Lepre, Seema Prasad, Barry Rosen - 1995
apteQwatson.ibm.com – Chidanand Apt, Se June Hong
20 Data Mining with Decision Trees and Decision Rules – Chidanand Apte, Sholom Weiss - 1997
36 Logic regression – Ingo Ruczinski, Charles Kooperberg, Michael Leblanc - 2003
41 Rule-based Machine Learning Methods for Functional Prediction – Sholom M. Weiss, Nitin Indurkhya - 1995
6 Predicting Defects in Disk Drive Manufacturing: A Case Study in High-Dimensional Classification – Chidanand Apte, Sholom Weiss, Gordon Grout - 1993
1 Case Studies in High-Dimensional Classification – C. Apte, R. Sasisekharan, V. Seshadri, S. M. Weiss - 1994
Regular Papers R-MINI: An Iterative Approach for Generating Minimal Rules from Examples – Se June Hong
19 R-MINI: An Iterative Approach for Generating Minimal Rules from Examples – Se June Hong - 1997
2 On Using Logic Synthesis for Supervised Classification Learning – Jeffrey A. Goldman, Mark L. Axtell - 1995
135 Separate-and-conquer rule learning – Johannes F├╝rnkranz - 1999
84 Towards Language Independent Automated Learning of Text Categorization Models – Chidanand Apte, Fred Damerau, Sholom M. Weiss - 1994
16 Efficient Incremental Induction of Decision Trees – Dimitrios Kalles, Tim Morris, Paul Utgo - 1995
48 Use of Contextual Information for Feature Ranking and Discretization – Se June Hong - 1997
Machine Learning: An Annotated Bibliography for the 1995 AI & . . . – David W. Aha - 1995
4 On the Development of Inductive Learning Algorithms: Generating Flexible and Adaptable Concept Representations – Ricardo Vilalta - 1998
10 Binary Rule Generation via Hamming Clustering – Marco Muselli, Diego Liberati - 2002
By – Georgios Paliouras - 1993
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996