LEADER 04890nam 2200673 450 001 9910463638803321 005 20200520144314.0 010 $a0-12-801460-1 010 $a0-12-801650-7 035 $a(CKB)2670000000578815 035 $a(EBL)1875324 035 $a(OCoLC)897466418 035 $a(SSID)ssj0001437513 035 $a(PQKBManifestationID)11899830 035 $a(PQKBTitleCode)TC0001437513 035 $a(PQKBWorkID)11373190 035 $a(PQKB)11714501 035 $a(MiAaPQ)EBC1875324 035 $a(CaSebORM)9780128014608 035 $a(PPN)194310213 035 $a(Au-PeEL)EBL1875324 035 $a(CaPaEBR)ebr10996924 035 $a(CaONFJC)MIL666031 035 $a(EXLCZ)992670000000578815 100 $a20150108h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPredictive analytics and data mining $econcepts and practice with rapidminer /$fVijay Kotu, Bala Deshpande 205 $a1st edition 210 1$aWaltham, Massachusetts :$cElsevier Inc,$d2015. 210 4$dİ2015 215 $a1 online resource (447 p.) 300 $aDescription based upon print version of record. 311 $a1-322-34749-2 320 $aIncludes bibliographical references and index. 327 $a""Front Cover""; ""Predictive Analyticsand Data Mining""; ""Copyright""; ""Dedication""; ""Contents""; ""Foreword""; ""Preface""; ""WHY THIS BOOK?""; ""WHO CAN USE THIS BOOK?""; ""Acknowledgments""; ""Chapter 1 -Introduction""; ""1.1 WHAT DATA MINING IS""; ""1.2 WHAT DATA MINING IS NOT""; ""1.3 THE CASE FOR DATA MINING""; ""1.4 TYPES OF DATA MINING""; ""1.5 DATA MINING ALGORITHMS""; ""1.6 ROADMAP FOR UPCOMING CHAPTERS""; ""REFERENCES""; ""Chapter 2 - Data Mining Process""; ""2.1 PRIOR KNOWLEDGE""; ""2.2 DATA PREPARATION""; ""2.3 MODELING""; ""2.4 APPLICATION""; ""2.5 KNOWLEDGE"" 327 $a""REFERENCES""""Chapter 6 - Association Analysis""; ""6.1 CONCEPTS OF MINING ASSOCIATION RULES""; ""6.2 Apriori Algorithm""; ""6.3 FP-GROWTH ALGORITHM""; ""CONCLUSION""; ""REFERENCES""; ""Chapter 7 - Clustering""; ""CLUSTERING TO DESCRIBE THE DATA""; ""CLUSTERING FOR PREPROCESSING""; ""7.1 TYPES OF CLUSTERING TECHNIQUES""; ""7.2 K-MEANS CLUSTERING""; ""7.3 DBSCAN CLUSTERING""; ""7.4 SELF-ORGANIZING MAPS""; ""REFERENCES""; ""Chapter 8 - Model Evaluation""; ""8.1 CONFUSION MATRIX (OR TRUTH TABLE)""; ""8.2 RECEIVER OPERATOR CHARACTERISTIC (ROC) CURVES AND AREA UNDER THE CURVE (AUC)"" 327 $a""8.3 LIFT CURVES""""8.4 EVALUATING THE PREDICTIONS: IMPLEMENTATION""; ""CONCLUSION""; ""REFERENCES""; ""Chapter 9 - Text Mining""; ""9.1 HOW TEXT MINING WORKS""; ""9.2 IMPLEMENTING TEXT MINING WITH CLUSTERING AND CLASSIFICATION""; ""CONCLUSION""; ""REFERENCES""; ""Chapter 10 - Time Series Forecasting""; ""10.1 DATA-DRIVEN APPROACHES""; ""10.2 MODEL-DRIVEN FORECASTING METHODS""; ""CONCLUSION""; ""REFERENCES""; ""Chapter 11 - Anomaly Detection""; ""11.1 ANOMALY DETECTION CONCEPTS""; ""11.3 DENSITY-BASED OUTLIER DETECTION""; ""11.4 LOCAL OUTLIER FACTOR""; ""CONCLUSION""; ""REFERENCES"" 327 $a""Chapter 12 - Feature Selection""""12.1 CLASSIFYING FEATURE SELECTION METHODS""; ""12.2 PRINCIPAL COMPONENT ANALYSIS""; ""12.3 INFORMATION THEORYa???BASED FILTERING FOR NUMERIC DATA""; ""CATEGORICAL DATA""; ""12.5 WRAPPER-TYPE FEATURE SELECTION""; ""CONCLUSION""; ""REFERENCES""; ""Chapter 13 - Getting Started with RapidMiner""; ""13.1 USER INTERFACE AND TERMINOLOGY""; ""13.2 DATA IMPORTING AND EXPORTING TOOLS""; ""13.3 DATA VISUALIZATION TOOLS""; ""13.4 DATA TRANSFORMATION TOOLS""; ""13.5 SAMPLING AND MISSING VALUE TOOLS""; ""CONCLUSION""; ""REFERENCES"" 327 $a""Comparison of Data Mining Algorithms"" 330 $a Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business user 606 $aData mining$xData processing 606 $aConsumer behavior$xEconomic aspects 608 $aElectronic books. 615 0$aData mining$xData processing. 615 0$aConsumer behavior$xEconomic aspects. 676 $a006.312 700 $aKotu$b Vijay$0921448 702 $aDeshpande$b Bala 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910463638803321 996 $aPredictive analytics and data mining$92066709 997 $aUNINA LEADER 03664nam 22006372 450 001 9910778866803321 005 20240102112708.0 010 $a1-107-11759-3 010 $a0-511-00290-4 010 $a1-280-42071-5 010 $a0-511-17192-7 010 $a0-511-14952-2 010 $a0-511-30970-8 010 $a0-511-49194-8 010 $a0-511-04833-5 035 $a(CKB)111004366731768 035 $a(EBL)144662 035 $a(OCoLC)437250298 035 $a(SSID)ssj0000223324 035 $a(PQKBManifestationID)11186052 035 $a(PQKBTitleCode)TC0000223324 035 $a(PQKBWorkID)10196269 035 $a(PQKB)11087661 035 $a(UkCbUP)CR9780511491948 035 $a(MiAaPQ)EBC144662 035 $a(Au-PeEL)EBL144662 035 $a(CaPaEBR)ebr2000834 035 $a(CaONFJC)MIL42071 035 $a(EXLCZ)99111004366731768 100 $a20090302d1999|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPolicy-making and diversity in Europe $eescaping deadlock /$fAdrienne He?ritier$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d1999. 215 $a1 online resource (vi, 113 pages) $cdigital, PDF file(s) 225 1 $aTheories of institutional design 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-65384-3 311 $a0-521-65296-0 327 $a1. Escaping deadlock: policy-making in Europe -- 2. The context of subterfuge: diversity, fragmentation and the malleability of the European polity -- 3. The analytical approach and theoretical background -- 4. Market-making policy: transport and telecommunications -- 5. The provision of collective goods and the reduction of externalities: environmental policy -- 6. Market-correcting, redistributive policy: regional and social policy -- 7. Market-correcting, distributive policy: research and technology -- 8. Summary and conclusion: stalemate and subterfuge across policy areas. 330 $aPolicy-Making and Diversity in Europe examines the European polity and its policy-making processes. In particular, it asks how an institution which is so riddled with veto points manages to be such an active and aggressive policy maker. He?ritier argues that the diversity of actors' interests and the consensus-forcing nature of European institutions would almost inevitably stall the decision-making process, were it not for the existence of creative informal strategies and policy-making patterns. Termed by the author 'subterfuge', these strategies prevent political impasses and 'make Europe work'. The book examines the presence of subterfuge in the policy domains of market-making, the provision of collective goods, redistribution and distribution. Subterfuge is seen to reinforce the primary functions of the European polity: the accommodation of diversity, policy innovation and democratic legitimation. Professor He?ritier concludes that the use of subterfuge to reconcile unity with diversity and competition with co-operation is the greatest challenge facing European policy-making. 410 0$aTheories of institutional design. 517 3 $aPolicy-Making & Diversity in Europe 606 $aPolitical planning$zEuropean Union countries 615 0$aPolitical planning 676 $a338.94 700 $aWindhoff-He?ritier$b Adrienne$f1944-$0728416 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910778866803321 996 $aPolicy-making and diversity in Europe$93715306 997 $aUNINA