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Data mining and machine learning : fundamental concepts and algorithms

[NT 42944] Record Type:	[NT 1579] Language materials, printed : [NT 40817] monographic
[NT 47376] Uniform Titlee:	Data mining and analysis
[NT 47348] Title Information:	fundamental concepts and algorithms
[NT 47261] Author:	ZakiMohammed J., 1971-
[NT 47353] Alternative Intellectual Responsibility:	MeiraWagner,
[NT 47351] Place of Publication:	Cambridge, United Kingdom
[NT 47263] Published:	Cambridge University Press;
[NT 47352] Year of Publication:	2020
[NT 50960] Edition:	second edition
[NT 47264] Description:	766 p.ill. : 26 cm.;
[NT 47266] Subject:	Data mining. -
[NT 47265] Notes:	Revised edition of: Data mining and analysis. 2014.
[NT 51398] Summary:	"The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning"--Provided by publisher.
[NT 50961] ISBN:	978-1-108-47398-9bound

Data mining and machine learning : fundamental concepts and algorithms
Zaki, Mohammed J.

Data mining and machine learning : fundamental concepts and algorithms / Mohammed J. Zaki, Wagner Meira, Jr. - second edition. - Cambridge, United Kingdom : Cambridge University Press, 2020. - 766 p. ; ill. ; 26 cm..
Revised edition of: Data mining and analysis. 2014..
Includes index..
ISBN 978-1-108-47398-9
Data mining.

Meira, Wagner

Data mining and machine learning : fundamental concepts and algorithms
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