000			02232nam a22002897a 4500
005			20240729155636.0
008			240110b2017 us ||||| |||| 00| | eng d
020			_a9780128042915
041			_aeng
082			_bWRI _a006.312
100			_aWitten, Ian H.
245			_aData Mining: _bPractical Machine Learning Tools and Techniques / _c Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal
250			_a4th Edition
260			_aUnited States : _bMorgan Kaufmann, _c2017
300			_axxxii, 621 p. ; _c28 cm.
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.rnrnExtensive 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.
650			_aData mining
653			_aKhai thác dữ liệu
700			_aFrank, Eibe
700			_aHall, Mark A.
700			_aPal, Christopher J.
856	4	0	_uhttps://bookworm.vnu.edu.vn/EDetail.aspx?id=78118
919			_a3Chương trình MIS _bSách tham khảo chương trình MIS _cINS3267 _dKinh doanh thông minh và kho dữ liệu _dBusiness Intelligence and Data Warehousing
919			_a3Chương trình MIS _cINS3076 _dPhân tích dữ liệu lớn _dBig Data Analytics
919			_a5Chương trình DBA _bSách tham khảo chương trình DBA _cINS3073 _dKho Phân tích dữ liệu kinh doanh _dData Warehousing & Business Analytics
942			_2ddc _cTB
999			_c10517 _d10517