000			01524nam a2200193Ia 4500
003			NULRC
005			20250520102719.0
008			250520s9999 xx 000 0 und d
020			_a9780521766333
040			_cNULRC
050			_aQA 76.9 .D343 .Z35 2014
100			_aZaki, Mohammed J. _eauthor
245		0	_aData mining and analysis : _bfundamental concepts and algorithms / _cMohammed J. Zaki
260			_aNew York : _bCambridge University Press, _cc2014
300			_axi, 593 pages : _billustrations ; _c26 cm.
365			_bUSD58.5
520			_aThe fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. With its comprehensive coverage, algorithmic perspective, and wealth of examples, this book offers solid guidance in data mining for students, researchers, and practitioners alike.
942			_2lcc _cBK
999			_c13584 _d13584