000			01609 a2200229 4500
003			OSt
005			20240207100244.0
008			240131b |||||||| |||| 00| 0 eng d
020			_a9788131519554
082			_a006.312 DU
100			_aDu, Hongbo
245			_aData Mining Techniques and Applications: An Introduction
260			_bCengage Learning India Private Limited _c2010 _aDelhi
300			_a315
520			_aThis concise and approachable introduction to data mining s a mixture of data mining techniques originating from statistics, machine learning and databases and presents them in an algorithmic approach. Aimed primarily at undergraduate readers, it presents not only the fundamental principles and concepts of the subject in an easy-to-understand way, but also hands on, practical instruction on data mining techniques, that readers can put into practice as they go along using the freely downloadable Weka toolkit. Author Hongbo Du shares his years of commercial, as well as research-based, experience in the field through extensive examples and real-world case studies, highlighting how data mining solutions provided by software tools are used in practical problem solving. Covering not only traditional areas of data mining such as association, clustering and classification, this text also explains topics such as data warehousing, online-analytic processing and text mining.
650			_aComputational intelligence
650			_amachine learning
650			_aData mining
650			_aEngineering mathematics
650			_aManagement information systems
942			_cBK _2ddc
999			_c46528 _d46528