Learning Classifier Systems in Data Mining (2008) (Studies in Computational Intelligence #125)
By: and and
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- Synopsis
- Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains. The first contribution is arranged as follows: Firstly, the main forms of LCS are described in some detail. A number of historical uses of LCS in data mining are then reviewed before an overview of the rest of the volume is presented. The rest of this book describes recent research on the use of LCS in the main areas of machine learning data mining: classification, clustering, time-series and numerical prediction, feature selection, ensembles, and knowledge discovery.
- Copyright:
- 2008
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783540789796
- Related ISBNs:
- 9783540789789
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 07/17/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Larry Bull
- Edited by:
- Ester Bernadó-Mansilla
- Edited by:
- John Holmes
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- by Larry Bull
- by Ester Bernadó-Mansilla
- by John Holmes
- in Nonfiction
- in Computers and Internet
- in Technology