000			01285cam a2200205 i 4500
999			_c21610 _d21610
020			_a9781119021438 (pbk. : alk. paper)
041			_aENG
082	0	0	_a005.74 _bLIN
100	1		_aLinoff, Gordon,
245	1	0	_aData analysis using SQL and Excel / _cGordon S. Linoff.
250			_a2nd ed.
260			_aIndianapolis, IN : _bJohn Wiley and Sons, _c2016.
300			_axlvi, 744 pages : _billustrations ; _c24 cm.
500			_aIncludes index.
505			_aA data miner looks at SQL -- What's in a table? Getting started with data exploration -- How different is different? -- Where is it all happening? Location, location, location -- It's a matter of time -- How long will customers last? Survival analysis to understand customers and their value -- Factors affecting survival: the what and why of customer tenure -- Customer purchases and other repeated events -- What's in a shopping cart? Market basket analysis -- Association rules and beyond -- Data mining models in SQL -- The best-fit line: linear regression models -- Building customer signatures for further analysis -- Performance is the issue: using SQL effectively.
650		0	_aSQL (Computer program language)
650		0	_aQuerying (Computer science)
650		0	_aData mining.
942			_2ddc _cBK