000			01879cam a22002658i 4500
005			20230911101719.0
008			191003s2020 enkad b 001 0 eng
020			_a9781108473989 _q(hardback)
020			_z9781108564175 _q(epub)
040			_aUniversiti Teknologi Brunei _beng _cUTB
084			_aQA76.9 ZAK 2020
100	1		_aZaki, Mohammed J., _d1971- _eauthor.
245	1	0	_aData mining and machine learning : _bfundamental concepts and algorithms / _cMohammed J. Zaki, Wagner Meira, Jr.
260			_aNew York : _bCambridge University Press, _c2020.
300			_axii, 766 pages : _billustrations ; _c25 cm.
500			_aRevised edition of: Data mining and analysis. 2014.
504			_aIncludes bibliographical references and index.
520			_a"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"-- _cProvided by publisher.
650		0	_aData mining.
700	1		_aMeira, Wagner, _d1967- _eauthor.
942			_2lc _cGC
998			_eBook _s834284 : 033889 c. 1 UTB _xI-Bayan Venture Company
999			_c21030 _d21030