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|a Rokach, Lior.
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|a Data mining with decision trees :
|b theory and applications /
|c Lior Rokach, Oded Maimon.
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|a Singapore :
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|c ©2008.
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|a Series in machine perception and artificial intelligence ;
|v v. 69
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|a Includes bibliographical references (pages 215-242) and index.
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|a 1. Introduction to decision trees -- 2. Growing decision trees -- 3. Evaluation of classification trees -- 4. Splitting criteria -- 5. Pruning trees -- 6. Advanced decision trees -- 7. Decision forests -- 8. Incremental learning of decision trees -- 9. Feature selection -- 10. Fuzzy decision trees -- 11. Hybridization of decision trees with other techniques -- 12. Sequence classification using decision trees.
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|a Print version record.
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|a This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more.
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|a Data mining.
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|a Decision trees.
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|a Decision Trees
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|a Maimon, Oded.
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|i Print version:
|a Rokach, Lior.
|t Data mining with decision trees.
|d Singapore : World Scientific, ©2008
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|a Series in machine perception and artificial intelligence ;
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