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Predictive analytics and data mining : concepts and practice with RapidMiner

Author: Vijay Kotu; Balachandre Deshpande
Publisher: Amsterdam : Elsevier Ltd., [2014] ©2015
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Erscheint auch als:
Kotu, Vijay. Predictive Analytics and Data Mining .
Concepts and Practice with RapidMiner
Druck-Ausgabe
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Vijay Kotu; Balachandre Deshpande
ISBN: 9780128016503 0128016507
OCLC Number: 897466418
Description: 1 online resource
Contents: ""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�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 NAÃ?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�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""
Responsibility: Vijay Kotu, Bala Deshpande.

Abstract:

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.

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"...an excellent introductory data science textbook to expose students to the essential concepts in predictive analytics. For the seasoned professional, it can serve as a handy reference book to Read more...

 
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