04736cam a2200493Ii 4500 ocn897466418 OCoLC 20190328114809.0 m o d cr cnu|||unuuu 141204t20142015ne o 000 0 eng d N$T eng rda pn N$T EBLCP N$T UIU YDXCP OCLCF NJT CNO DEBSZ TEFOD DEBBG MERUC U3W D6H CUY ZCU ICG INT AU@ OCLCQ TKN DKC 9780128016503 (electronic bk.) 0128016507 (electronic bk.) 9780128014608 (OCoLC)897466418 QA76.9.D343 K68 2015eb COM 000000 bisacsh 006.312 23 Kotu, Vijay, author. Predictive analytics and data mining : concepts and practice with RapidMiner / [electronic resource] Vijay Kotu, Bala Deshpande. Amsterdam : Elsevier Ltd., 2014. �2015 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Vendor-supplied metadata. ""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"" ""WHAT�a�?S NEXT?""""REFERENCES""; ""Chapter 3 -- Data Exploration""; ""3.1 OBJECTIVES OF DATA EXPLORATION""; ""3.2 DATA SETS""; ""3.3 DESCRIPTIVE STATISTICS""; ""3.4 DATA VISUALIZATION""; ""3.5 ROADMAP FOR DATA EXPLORATION""; ""REFERENCES""; ""Chapter 4 -- Classification""; ""4.1 DECISION TREES""; ""4.2 RULE INDUCTION""; ""4.3 K-NEAREST NEIGHBORS""; ""4.4 NA�A?VE BAYESIAN""; ""4.5 ARTIFICIAL NEURAL NETWORKS""; ""4.6 SUPPORT VECTOR MACHINES""; ""4.7 ENSEMBLE LEARNERS""; ""REFERENCES""; ""Chapter 5 -- Regression Methods""; ""5.1 LINEAR REGRESSION""; ""5.2 LOGISTIC REGRESSION""; ""CONCLUSION"" ""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"" ""Chapter 12 -- Feature Selection""""12.1 CLASSIFYING FEATURE SELECTION METHODS""; ""12.2 PRINCIPAL COMPONENT ANALYSIS""; ""12.3 INFORMATION THEORY�a�?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"" 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. Data mining. Consumer behavior. COMPUTERS General. bisacsh Consumer behavior. fast (OCoLC)fst00876238 Data mining. fast (OCoLC)fst00887946 Electronic books. Electronic books. lcgft Deshpande, Balachandre, author. Erscheint auch als: Druck-Ausgabe Kotu, Vijay. Predictive Analytics and Data Mining . Concepts and Practice with RapidMiner ScienceDirect http://www.sciencedirect.com/science/book/9780128014608 247017 247017