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Data mining with decision trees = th...

Rokach, Lior.

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Data mining with decision trees = theory and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data mining with decision trees/ Lior Rokach, Oded Maimon.
其他題名:	theory and applications /
作者:	Rokach, Lior.
其他作者:	Maimon, Oded.
出版者:	New Jersey :World Scientific, : 2015.,
面頁冊數:	1 online resource (xxi, 305 p.) :ill.
標題:	Data mining. -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/9097#t=toc
ISBN:	9789814590082

Data mining with decision trees = theory and applications /
Rokach, Lior.

Data mining with decision treestheory and applications /[electronic resource] :Lior Rokach, Oded Maimon. - 2nd ed. - New Jersey :World Scientific,2015. - 1 online resource (xxi, 305 p.) :ill. - Series in Machine Perception and Artificial Intelligence ;Volume 81. - Series in machine perception and artificial intelligence ;v. 74..

Includes bibliographical references and index.

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced. This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new ed.

ISBN: 9789814590082Subjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / .R654 2015eb

Dewey Class. No.: 006.3/12

Data mining with decision trees = theory and applications /
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300 $a 1 online resource (xxi, 305 p.) : $b ill.
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504 $a Includes bibliographical references and index.
520 $a Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover useful patterns. Decision tree learning continues to evolve over time. Existing methods are constantly being improved and new methods introduced. This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of our first edition. In this new ed.
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