Foundations of Computational Intelligence: Volume 6: Data Mining (Studies in Computational Intelligence, 206)
ISBN-13:
9783642101670
ISBN-10:
3642101674
Edition:
Softcover reprint of hardcover 1st ed. 2009
Author:
Ajith Abraham, Aboul Ella Hassanien, Václav Snášel, André Ponce de Leon F. de Carvalho
Publication date:
2010
Publisher:
Springer
Format:
Paperback
410 pages
Category:
AI & Machine Learning
,
Data Mining
,
Databases & Big Data
,
Engineering
,
Astrophysics
,
Physics
,
Bioinformatics
,
Biological Sciences
,
Geophysics
,
Evolution
,
Applied
,
Mathematics
,
Computer Science
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Book details
ISBN-13:
9783642101670
ISBN-10:
3642101674
Edition:
Softcover reprint of hardcover 1st ed. 2009
Author:
Ajith Abraham, Aboul Ella Hassanien, Václav Snášel, André Ponce de Leon F. de Carvalho
Publication date:
2010
Publisher:
Springer
Format:
Paperback
410 pages
Category:
AI & Machine Learning
,
Data Mining
,
Databases & Big Data
,
Engineering
,
Astrophysics
,
Physics
,
Bioinformatics
,
Biological Sciences
,
Geophysics
,
Evolution
,
Applied
,
Mathematics
,
Computer Science
Summary
Foundations of Computational Intelligence: Volume 6: Data Mining (Studies in Computational Intelligence, 206) (ISBN-13: 9783642101670 and ISBN-10: 3642101674), written by authors
Ajith Abraham, Aboul Ella Hassanien, Václav Snášel, André Ponce de Leon F. de Carvalho, was published by Springer in 2010.
With an overall rating of 3.5 stars, it's a notable title among other
AI & Machine Learning
(Data Mining, Databases & Big Data, Engineering, Astrophysics, Physics, Bioinformatics, Biological Sciences, Geophysics, Evolution, Applied, Mathematics, Computer Science) books. You can easily purchase or rent Foundations of Computational Intelligence: Volume 6: Data Mining (Studies in Computational Intelligence, 206) (Paperback) from BooksRun,
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AI & Machine Learning
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Description
Computational tools or solutions based on intelligent systems are being used effectively in data mining applications. This book, one of a series on the foundations of Computational Intelligence, is focused on applications of techniques for data mining.
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