Data Mining with Evolutionary Algorithms: Research Directions
Papers from the AAAI Workshop
Alex A. Freitas, Program Chair
Technical Report WS-99-06 published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Chairman’s Welcome and Acknowledgements / 1
Alex A. Freitas
Genetic Algorithms for Selection and Partitioning of Attributes in Large-Scale Data Mining Problems / 1
William H. Hsu, Michael Welge, Jie Wu, and Ting-Hao Yang
The Importance of Simplicity and Validation in Genetic Programming for Data Mining in Financial Data / 7
James D. Thomas and Katia Sycara
Mining Predictive Patterns in Sequences of Events / 12
Gary M. Weiss
Feature Selection Mechanisms for Ensemble Creation: A Genetic Search Perspective / 13
César Guerra-Salcedo and Darrell Whitley
Genetic Algorithms as Post Processors for Data Mining / 18
Simon Thompson
On Data Clustering with Artificial Ants / 23
N. Monmarché
AAAI Digital Library
AAAI relies on your generous support through membership and donations. If you find these resources useful, we would be grateful for your support.