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020			_a9789380931913
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aD65,8(B),27 P1;Q2;18 _qCSL
100			_aHan, Jiawei _eauthor _9820234
245		0	_aData mining concept and techniques
250			_a3rd ed.
260			_aNew Delhi : _bElsevier, _c2012.
300			_axxxv, 703p. _b: ill.
500			_aBibliography 633-672p.; Index 673-703p.; Reprint 2014.
520			_aThe increasing of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, its still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous editions publication, great advances have been made in the field of data mining. Not only does the third of edition of data mining: concepts and techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations ready to be used directly or with strategic modification against live data. This is the resource you need if you want to apply todays most powerful data mining techniques to meet real business challenges.
650			_a Data cube technology _9820235
650			_a Outlies detection _9820236
650			_aData warehousing _9820237
700			_aKamber, Micheline _eco-author _9820238
700			_aPei, Jian _eco-author _9820239
942			_hD65,8(B),27 P1;Q2;18 _cTEXL _2CC _n0
999			_c9825 _d9825