Full Product Details
Author: Gisele L. Pappa ,
Alex Freitas
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 2010 ed.
Dimensions:
Width: 15.50cm
, Height: 1.00cm
, Length: 23.50cm
Weight: 0.454kg
ISBN: 9783642261251
ISBN 10: 3642261256
Pages: 187
Publication Date: 14 March 2012
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
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)"
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)
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)
