LEADER 04857nam 2200661 450 001 9910824261403321 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(Au-PeEL)EBL1875324 035 $a(CaPaEBR)ebr10996924 035 $a(CaONFJC)MIL666031 035 $a(CaSebORM)9780128014608 035 $a(MiAaPQ)EBC1875324 035 $a(PPN)194310213 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 615 0$aData mining$xData processing. 615 0$aConsumer behavior$xEconomic aspects. 676 $a006.312 700 $aKotu$b Vijay$01664102 702 $aDeshpande$b Bala 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910824261403321 996 $aPredictive analytics and data mining$94021973 997 $aUNINA