000			01814nam a2200289 a 4500
001			13429652
008			110222s2004 inua 001 0 eng d
010			_a 2003026693
020			_a9780471470649
020			_a0471470643 (paper/website)
040			_aDLC _cDLC _dDLC _dBD-DhAAL
082	0	0	_a658.8/02 _222
100	1		_aBerry, Michael J. A.
245	1	0	_aData mining techniques : _bfor marketing, sales, and customer relationship management / _cMichael J.A. Berry, Gordon S. Linoff.
250			_a2nd ed.
260			_aIndianapolis, Ind. : _bWiley Pub., _cc2004.
300			_axxv, 643 p. : _bill. ; _c24 cm.
500			_aIncludes index.
505	0		_aWhy and what is data mining? -- The virtuous cycle of data mining -- Data mining methodology and best practices -- Data mining applications in marketing and customer relationship management -- The lure of statistics: data mining using familiar tools -- Decision trees -- Artificial neural networks -- Nearest neighbor approaches : memory-based reasoning and collaborative filtering -- Market basket analysis and association rules -- Link analysis -- Automatic Cluster detection -- Knowing when to worry: hazard functions and survival analysis in marketing -- Genetic algorithms -- Data mining throughout the customer life cycle -- Data warehousing, OLAP, and data mining -- Building the data mining environment -- Preparing data for mining -- Putting data mining to work.
650		0	_aData mining.
650		0	_aMarketing _xData processing.
650		0	_aBusiness _xData processing.
700	1		_aLinoff, Gordon.
999			_c10474 _d10474
952			_p3010021975 _40 _eKarim International _00 _bBRACUL _10 _o658.8/02 BER _d2011-02-24 _t1 _70 _cGEN _2ddc _g3,500 Tk. _yBK _aBRACUL