000			03241nam a2200397 4500
001			33406
005			20230423231440.0
008			150620t20122002xxum a00o 0 eng d
020			_a9781439869468
049			_bPITLIB
050	0	0	_aQA76.9.D343 W83 2012
100	1		_aWu, James _943347
245	1	0	_aFoundations of predictive analytics/ _cA.W. Boundy _h[book]
260			_aBoca Raton, FL : _bCRC Press, _c2012. _94402
300			_a317p
449			_a•L012– New Arrivals- Sep. 2015
500			_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
650		0	_aData mining _917634
650		0	_aPredictive control--mathematical models _943348
650		4	_aAutomatic control _911797
690		0	_a0022 วิศวกรรมศาสตรบัณฑิต สาขาวิศวกรรมอุตสาหการ IE (ป.ตรี) _949
700	0		_aCoggeshall, Stephen _943349
942			_cBK
970			_l1 _tIntrodction _pp.1
970			_l2 _tProperties of statistical Distributions _pp.9
970			_l3 _tImportant Matrix Relationships _pp.63
970			_l4 _tLinear Modeling and Regression _pp.83
970			_l5 _tNonlinear Modeling _pp.129
970			_l6 _tTime Series Analysis _po.173
970			_l7 _tData Preparaition and Variable Selection _pp.195
970			_l8 _tModel Goodness Maasures _pp.213
970			_l9 _tOptimization Methods _pp.231
970			_l10 _tMiscellaneous Topics _pp.271
988			_c33406
999			_c33406 _d33406