Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.

LEADER 00000cam a2201069 a 4500 
001    824536068 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr |n|---||||| 
008    130115s2013    nju     ob    001 0 eng   
010      2013001926 
019    828872137|a829753727|a842860008|a857596575|a864912365
       |a880902374|a889235083|a961601380|a962586707|a988433177
       |a992003151|a994901414|a1014200012|a1045513571|a1064779243
       |a1103265617|a1114108026|a1148066747|a1156862480
       |a1172239582|a1179474022|a1191054343|a1200557036
       |a1264922645 
020    9781118416853|q(epub) 
020    1118416856|q(epub) 
020    9781118420621|q(pdf) 
020    1118420624|q(pdf) 
020    129919270X 
020    9781299192706 
020    |q(cloth) 
020    1118356853 
020    9781118356852 
020    9781118596470|q(ebk.) 
020    1118596471 
024 8  40021986398 
028 01 EB00063548|bRecorded Books 
029 1  AU@|b000050426021 
029 1  AU@|b000052006798 
029 1  AU@|b000052914442 
029 1  AU@|b000053294185 
029 1  AU@|b000062476315 
029 1  DEBBG|bBV041432181 
029 1  DEBBG|bBV041912751 
029 1  DEBBG|bBV044172831 
029 1  DEBSZ|b397479549 
029 1  DEBSZ|b398280797 
029 1  NZ1|b15345429 
029 1  AU@|b000067098924 
035    (OCoLC)824536068|z(OCoLC)828872137|z(OCoLC)829753727
       |z(OCoLC)842860008|z(OCoLC)857596575|z(OCoLC)864912365
       |z(OCoLC)880902374|z(OCoLC)889235083|z(OCoLC)961601380
       |z(OCoLC)962586707|z(OCoLC)988433177|z(OCoLC)992003151
       |z(OCoLC)994901414|z(OCoLC)1014200012|z(OCoLC)1045513571
       |z(OCoLC)1064779243|z(OCoLC)1103265617|z(OCoLC)1114108026
       |z(OCoLC)1148066747|z(OCoLC)1156862480|z(OCoLC)1172239582
       |z(OCoLC)1179474022|z(OCoLC)1191054343|z(OCoLC)1200557036
       |z(OCoLC)1264922645 
037    CL0500000281|bSafari Books Online 
037    5B777E59-B69F-4459-A416-3E71D55F3F3A|bOverDrive, Inc.
       |nhttp://www.overdrive.com 
040    DLC|beng|epn|cDLC|dYDXCP|dUMC|dTEFOD|dN$T|dITD|dDEBSZ|dMHW
       |dTOH|dUMI|dCOO|dIDEBK|dE7B|dCDX|dSTF|dRECBK|dAU@|dTSC
       |dDEBBG|dOCLCO|dS3O|dCOCUF|dOCLCQ|dMOR|dCCO|dPIFAG|dOTZ
       |dUAB|dOCLCQ|dMERUC|dOCLCQ|dZCU|dOCLCQ|dU3W|dUUM|dOCLCF
       |dHCO|dCEF|dNRAMU|dNTG|dOCLCQ|dVT2|dC6I|dNJP|dLDP|dMM9
       |dUKQUB|dUKAHL|dINARC|dOCLCO|dOCLCQ|dOCLCO|dOCLCL 
042    pcc 
049    INap 
082 00 303.49 
082 00 303.49|223 
099    eBook O’Reilly for Public Libraries 
100 1  Siegel, Eric,|d1968- 
245 10 Predictive analytics :|bthe power to predict who will 
       click, buy, lie, or die /|cEric Siegel.|h[O'Reilly 
       electronic resource] 
260    Hoboken, New Jersey :|bJohn Wiley & Sons, Inc.,|c©2013. 
300    1 online resource 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
500    Includes index. 
504    Includes bibliographical references (pages 228-289) and 
       index. 
505 0  Liftoff! prediction takes action : the stock market -- 
       With power comes responsibility : HP, Target and the 
       police deduce your secrets -- The data effect : blogger 
       anxiety and the economy -- The machine that learns : Chase
       and mortgage risk. 
520    You have been predicted - by companies, governments, law-
       enforcement, hospitals and universities. Their computers 
       say, "I knew you were going to do that!" These 
       institutions are seizing upon the power to predict whether
       you're going to click, buy, lie, or die. Why? For good 
       reason: Predicting human behavior combats financial risk, 
       fortifies healthcare, reduces spam, toughens crime-
       fighting and boosts sales. How? Prediction is powered by 
       the world's most potent, booming unnatural resource: data.
       Accumulated in large part as the by-product of routine 
       tasks, data is the unsalted, flavorless residue deposited 
       en masse as organizations churn away. Surprise! This heap 
       of refuse is a gold mine. Big data embodies an 
       extraordinary wealth of experience from which to learn. 
       Predictive analytics unleashes the power of data. With 
       this technology, the computer literally learns from data 
       how to predict the future behavior of individuals. Perfect
       prediction is not possible, but putting odds on the future
       - lifting a bit of the fog off our hazy view of tomorrow -
       means pay dirt. 
588 0  Print version record and CIP data provided by publisher. 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Social sciences|xForecasting. 
650  0 Economic forecasting. 
650  0 Prediction (Psychology) 
650  0 Social prediction. 
650  0 Human behavior. 
650  6 Sciences sociales|xPrévision. 
650  6 Prévision économique. 
650  6 Prédiction (Psychologie) 
650  6 Prévision sociale. 
650  6 Comportement humain. 
650  7 human behavior.|2aat 
650  7 Economic forecasting|2fast 
650  7 Human behavior|2fast 
650  7 Prediction (Psychology)|2fast 
650  7 Social prediction|2fast 
650  7 Data mining.|2sao 
650  7 Management.|2sao 
650  7 Multivariat analys.|2sao 
650  7 Prediktion.|2sao 
776 08 |iPrint version:|aSiegel, Eric.|tPredictive analytics.
       |dHoboken, N.J. : Wiley, ©2013|z9781118356852|w(DLC)  
       2012047252 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781118416853/?ar
       |zAvilable on O'Reilly for Public Libraries 
938    Askews and Holts Library Services|bASKH|nAH24971307 
938    Coutts Information Services|bCOUT|n24807746 
938    ebrary|bEBRY|nebr10658462 
938    EBSCOhost|bEBSC|n535996 
938    ProQuest MyiLibrary Digital eBook Collection|bIDEB
       |ncis24807746 
938    Recorded Books, LLC|bRECE|nrbeEB00063548 
938    YBP Library Services|bYANK|n10196165 
938    Internet Archive|bINAR|npredictiveanalyt0000sieg 
994    92|bJFN