000			01463nam a22001817a 4500
999			_c1263 _d1263
005			20211125135047.0
008			211125b ||||| |||| 00| 0 eng d
020			_a9781108473989
082			_a006.312 _bZAK
100			_aZaki, Mohammed J
245			_aData mining and machine learning : _b fundamental concepts and algorithms _cMohammed J Zaki; Wagner Meira
250			_a2ND
260			_a NY : _bCambridge University Press, 2020. _c©2020
300			_a766 pages
505			_t Part one: Data analysis foundations _tPart two: Frequent pattern mining - _tPart three: Clustering _tPart four: Classification _tPart five: Regression
520			_aThe 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
942			_2ddc _cBK