Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

ISBN-13: 9783642025402 / Angielski / Twarda / 2009 / 187 str.

Gisele L. Pappa; Alex Freitas

Opis

This unique text seeks to automate the design of a data mining algorithm. It first overviews data mining and evolutionary algorithms then discusses the design of a new genetic programming system for automating the design of full rule induction algorithms.

Recenzje

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)

Spis treści

Data Mining.- Evolutionary Algorithms.- Genetic Programming for Classification and Algorithm Design.- Automating the Design of Rule Induction Algorithms.- Computational Results on the Automatic Design of Full Rule Induction Algorithms.- Directions for Future Research on the Automatic Design of Data Mining Algorithms.