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020 _a9780128016503
_q(electronic bk.)
020 _a0128016507
_q(electronic bk.)
020 _z9780128014608
035 _a(OCoLC)897466418
050 4 _aQA76.9.D343
_bK68 2015eb
072 7 _aCOM
_x000000
_2bisacsh
082 0 4 _a006.312
_223
100 1 _aKotu, Vijay,
_eauthor.
245 1 0 _aPredictive analytics and data mining : concepts and practice with RapidMiner /
_h[electronic resource]
_cVijay Kotu, Bala Deshpande.
264 1 _aAmsterdam :
_bElsevier Ltd.,
_c2014.
264 4 _c�2015
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
588 0 _aVendor-supplied metadata.
505 0 _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""
505 8 _a""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""
505 8 _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""
505 8 _a""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""
520 _aPut 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.
650 0 _aData mining.
650 0 _aConsumer behavior.
650 7 _aCOMPUTERS
_xGeneral.
_2bisacsh
650 7 _aConsumer behavior.
_2fast
_0(OCoLC)fst00876238
650 7 _aData mining.
_2fast
_0(OCoLC)fst00887946
655 4 _aElectronic books.
655 7 _aElectronic books.
_2lcgft
700 1 _aDeshpande, Balachandre,
_eauthor.
776 0 8 _iErscheint auch als:
_nDruck-Ausgabe
_aKotu, Vijay. Predictive Analytics and Data Mining .
_tConcepts and Practice with RapidMiner
856 4 0 _3ScienceDirect
_uhttp://www.sciencedirect.com/science/book/9780128014608
999 _c247017
_d247017