Data Mining and Knowledge Discovery with Evolutionary Algorithms

Inbunden, Engelska, 2002

Av Alex A. Freitas

1 459 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Häftad

1 459 kr

Skickas inom 10-15 vardagar

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research. In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for the reader for intelligent decision making. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.

Produktinformation

Utgivningsdatum2002-08-21
Mått155 x 235 x 20 mm
Vikt588 g
FormatInbunden
SpråkEngelska
SerieNatural Computing Series
Antal sidor265
Upplaga2002
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540433316

Tillhör följande kategorier

Databaser inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik
Programmeringsböcker inom Data och it
Systemvetenskap och AI inom Data och it

Preface; 1. Introduction; 2. Data Mining Tasks and Concepts; 3. Data Mining Paradigms; 4. Data Prepration; 5. Basic Concepts of Evolutionary Algorithms; 6. Genetic Algorithms for Rule Discovery; 7. Genetic Programming for Rule Discovery and Decision-Tree Building; 8. Evolutionary Algorithms for Clustering; 9. Evolutionary Algorithms for Data Preparation; 10. Evolutionary Algorithms for Discovering Fuzzy Rules; 11. Scaling up Evolutionary Algorithms for Large Data Sets; 12. Conclusions and Research Directions; Index.

From the reviews: "In the snappily-titled Data Mining and Knowledge Discovery with Evolutionary Algorithms, leading researcher Alex A Freitas introduces both data mining and evolutionary algorithms. ... The aim is to introduce and address the key challenges to a high level of detail. With an understanding gleaned from this book, and source code available freely on the web, the world of data mining is your oyster." (Application Development Advisor, January/February, 2003)