000			01915cam a2200253 i 4500
999			_c16189 _d16189
020			_a9780128043578
020			_a0128043571
082	0	4	_a006.32
100	1		_aWitten, I. H.
245	1	0	_aData mining :
250			_aFourth edition
300			_a1 online resource (xxxii, 621 pages) : _billustrations
490	1		_aMorgan Kaufmann Series in Data Management Systems
520			_aData Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at https://www.cs.waikato.ac.nz/��ml/weka/book.html
650		0	_aData mining
650		2	_aData Mining
700	1		_aFrank, Eibe,
700	1		_aHall, Mark A.
700	1		_aPal, Christopher J.,
856	4	0	_uhttps://www.sciencedirect.com/science/book/9780128042915
856	4	0	_uhttp://proxy.ohiolink.edu:9099/login?url=https://www.sciencedirect.com/science/book/9780128042915
856	4	0	_uhttps://learning.oreilly.com/library/view/~/9780128043578/?ar
942			_cBK