Predictive analytics and data mining : concepts and practice with RapidMiner / (Record no. 247017)
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| fixed length control field | 04736cam a2200493Ii 4500 |
| 001 - CONTROL NUMBER | |
| control field | ocn897466418 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20190328114809.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 141204t20142015ne o 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | N$T |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | N$T |
| Modifying agency | EBLCP |
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| -- | UIU |
| -- | YDXCP |
| -- | OCLCF |
| -- | NJT |
| -- | CNO |
| -- | DEBSZ |
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| -- | MERUC |
| -- | U3W |
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| -- | CUY |
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| -- | ICG |
| -- | INT |
| -- | AU@ |
| -- | OCLCQ |
| -- | TKN |
| -- | DKC |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128016503 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0128016507 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780128014608 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)897466418 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9.D343 |
| Item number | K68 2015eb |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 000000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kotu, Vijay, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Predictive analytics and data mining : concepts and practice with RapidMiner / |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Vijay Kotu, Bala Deshpande. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Amsterdam : |
| Name of producer, publisher, distributor, manufacturer | Elsevier Ltd., |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | �2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 588 0# - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Vendor-supplied metadata. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | ""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# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | ""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# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | ""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# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | ""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 ## - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Consumer behavior. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | COMPUTERS |
| General subdivision | General. |
| Source of heading or term | bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Consumer behavior. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst00876238 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| Source of heading or term | fast |
| Authority record control number | (OCoLC)fst00887946 |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | lcgft |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Deshpande, Balachandre, |
| Relator term | author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Erscheint auch als: |
| Note | Druck-Ausgabe |
| Main entry heading | Kotu, Vijay. Predictive Analytics and Data Mining . |
| Title | Concepts and Practice with RapidMiner |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | ScienceDirect |
| Uniform Resource Identifier | http://www.sciencedirect.com/science/book/9780128014608 |
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