Overview
- This book proposes a different goal for evolutionary algorithms in data mining: to automate the design of a data mining algorithm, rather than just optimize its parameters.
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
Keywords
About this book
Reviews
From the reviews:
"The book is targeted at researchers and postgraduate students. As the amount of data being mined continues to grow it demands ever more sophisticated mining algorithms. Therefore there is a need for new algorithms and so Pappa and Freitas’ book will be of interest particularly to researchers in data mining. ... [T]his book will appeal to the target audience of [the journal] Genetic Programming and Evolvable Machines and, I feel, will align with the research interests of its readership." (John Woodward, Genetic Programming and Evolvable Machines (2011) 12:81–83)
“The book will be useful for postgraduate students and researchers in the data mining field and in evolutionary computation.” (Florin Gorunescu, Zentralblatt MATH, Vol. 1183, 2010)
Authors and Affiliations
Bibliographic Information
Book Title: Automating the Design of Data Mining Algorithms
Book Subtitle: An Evolutionary Computation Approach
Authors: Gisele L. Pappa, Alex Freitas
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-642-02541-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-02540-2Published: 10 November 2009
Softcover ISBN: 978-3-642-26125-1Published: 14 March 2012
eBook ISBN: 978-3-642-02541-9Published: 27 October 2009
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XIII, 187
Number of Illustrations: 33 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Data Structures, Artificial Intelligence