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008			120720s2012 flua sb 001 0 eng d
020			_a9781439869482 (ebook : PDF)
040			_aBD-DhSAU _cBD-DhSAU
090			_aQA76.9.D343 _bW83 2012
092			_a006.312 _bW959
100	1		_aWu, James, _d1965-
245	1	0	_aFoundations of predictive analytics _h[electronic resource] / _cJames Wu, Stephen Coggeshall.
260			_aBoca Raton, Fla. : _bCRC Press, _cc2012.
300			_axix, 317 p. : _bill.
490	1		_aChapman & Hall/CRC data mining and knowledge discovery series
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references (p. 309-312) and index.
505	0		_a1. Introduction -- 2. Properties of statistical distributions -- 3. Important matrix relationships -- 4. Linear modeling and regression -- 5. Nonlinear modeling -- 6. Time series analysis -- 7. Data preparation and variable selection -- 8. Model goodness measures -- 9. Optimization methods -- 10. Miscellaneous topics.
520			_a"Preface this text is a summary of techniques of data analysis and modeling that the authors have encountered and used in our two-decades experience of practicing the art of applied data mining across many different fields. The authors have worked in this field together and separately in many large and small companies, including the Los Alamos National Laboratory, Bank One (JPMorgan Chase), Morgan Stanley, and the startups of the Center for Adaptive Systems Applications (CASA), the Los Alamos Computational Group and ID Analytics. We have applied these techniques to traditional and nontraditional problems in a wide range of areas including consumer behavior modeling (credit, fraud, marketing), consumer products, stock forecasting, fund analysis, asset allocation, and equity and xed income options pricing. This monograph provides the necessary information for understanding the common techniques for exploratory data analysis and modeling. It also explains the details of the algorithms behind these techniques, including underlying assumptions and mathematical formulations. It is the authors' opinion that in order to apply di erent techniques to di erent problems appropriately, it is essential to understand the assumptions and theory behind each technique. It is recognized that this work is far from a complete treatise on the subject. Many excellent additional texts exist on the popular subjects and it was not a goal for this present text to be a complete compilation. Rather this text contains various discussions on many practical subjects that are frequently missing from other texts, as well as details on some subjects that are not often or easily found. Thus this text makes an excellent supplemental and referential resource for the practitioners of these subjects"--Provided by publisher.
530			_aAlso available in print edition.
538			_aMode of access: World Wide Web.
650		0	_aData mining.
650		0	_aPredictive control _xMathematical models.
650		0	_aAutomatic control.
655		7	_aElectronic books. _2lcsh
700	1		_aCoggeshall, Stephen.
776	1		_z9781439869468 (hardback : acid-free paper) _z1439869464 (hardback : acid-free paper)
830		0	_aChapman & Hall/CRC data mining and knowledge discovery series.
856	4	0	_uhttp://marc.crcnetbase.com/isbn/9781439869482 _qapplication/PDF
999			_c12154 _d12153