Data Mining Using Grammar Based Genetic Programming and Applications
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader,...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2002, 2002
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| Edition: | 1st ed. 2002 |
| Series: | Genetic Programming
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- An Overview of Data Mining
- An Overview on Evolutionary Algorithms
- Inductive Logic Programming
- The Logic Grammars Based Genetic Programming System (LOGENPRO)
- Data Mining Applications Using LOGENPRO
- Applying LOGENPRO for Rule Learning
- Medical Data Mining
- Conclusion and Future Work