Holdings: Microsoft data mining

Microsoft data mining: integrated business intelligence for e-Commerce and knowledge management

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Bibliographic Details
Main Author:	De Ville, Barry (Author)
Format:	Book
Language:	English
Published:	Boston [u.a.] Digital Press 2001
Series:	Data management
Subjects:	OLE (Computer file) SQL server Data mining Data Mining Einführung
Online Access:	Table of Contents Inhaltsverzeichnis
Item Description:	Includes index.
Physical Description:	xx, 315 p. ill. : 24 cm
ISBN:	1555582427

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MARC


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adam_text	MICROSOFT DATA MINING / DE VILLE, BARRY : C2001 TABLE OF CONTENTS / INHALTSVERZEICHNIS I INTRODUCTION TO DATA MINING I.I SOMETHING OLD, SOMETHING NEW 1.2 MICROSOFT S APPROACH TO DEVELOPING THE RIGHT SET OF TOOLS 1.3 BENEFITS OF DATA MINING 1.4 MICROSOFT S ENTRY INTO DATA MINING 1.5 CONCEPT OF OPERATIONS 2 THE DATA MINING PROCESS 2.1 BEST PRACTICES IN KNOWLEDGE DISCOVERY IN DATABASES 2.2 THE SCIENTIFIC METHOD AND THE PARADIGMS THAT COME WITH IT 2.3 HOW TO DEVELOP YOUR PARADIGM 2.4 THE DATA MINING PROCESS METHODOLOGY 2.5 BUSINESS UNDERSTANDING 2.6 DATA UNDERSTANDING 2.7 DATA PREPARATION 2.8 MODELING 2.9 EVALUATION 2.10 DEPLOYMENT 2.11 PERFORMANCE MEASUREMENT 2.12 COLLABORATIVE DATA MINING: THE CONFLUENCE OF DATA MINING AND KNOWLEDGE MANAGEMENT 3 DATA MINING TOOLS AND TECHNIQUES 3.1 MICROSOFT S ENTRY INTO DATA MINING 3.2 THE MICROSOFT DATA MINING PERSPECTIVE 3.3 DATA MINING AND EXPLORATION (DMX) PROJECTS 3.4 OLE DB FOR DATA MINING ARCHITECTURE 3.5 THE MICROSOFT DATA WAREHOUSING FRAMEWORK AND ALLIAN( 3.6 DATA MINING TASKS SUPPORTED BY SQL SERVER 2000 ANALYSIS SERVICES 3.7 OTHER ELEMENTS OF THE MICROSOFT DATA MINING STRATEGY 4 MANAGING THE DATA MINING PROJECT 4.1 THE MINING MART 4.2 UNIT OF ANALYSIS 4.3 DEFINING THE LEVEL OF AGGREGATION 4.4 DEFINING METADATA 4.5 CALCULATIONS 4.6 STANDARDIZED VALUES 4.7 TRANSFORMATIONS FOR DISCRETE VALUES 4.8 AGGREGATES 4.9 ENRICHMENTS 4.10 EXAMPLE PROCESS (TARGET MARKETING) 4.11 THE DATA MART 5 MODELING DATAS. I THE DATABASE 5.2 PROBLEM SCENARIO 5.3 SETTING UP ANALYSIS SERVICES 5.4 DEFINING THE OLAP CUBE 5.5 ADDING TO THE DIMENSIONAL REPRESENTATION 5.6 BUILDING THE ANALYSIS VIEW FOR DATA MINING 5.7 SETTING UP THE DATA MINING ANALYSIS 5.8 PREDICTIVE MODELING (CLASSIFICATION) TASKS 5.9 CREATING THE MINING MODEL 5.10 THE TREE NAVIGATOR 5.1 I CLUSTERING (CREATING SEGMENTS) WITH CLUSTERANALYSIS 5.12 CONFIRMING THE MODEL THROUGH VALIDATION 5.13 SUMMARY 6 DEPLOYING THE RESULTS 6.1 DEPLOYMENTS FOR PREDICTIVE TASKS (CLASSIFICATION) 6.2 LIFT CHARTS 6.3 BACKING UP AND RESTORING DATABASES 7 THE DISCOVERY AND DELIVERY OF KNOWLEDGE FOR EFFECTIVE ENTERPRISE OUTCOMES: KNOWLEDGE MANAGEMENT 7.1 THE ROLE OF IMPLICIT AND EXPLICIT KNOWLEDGE 7.2 A PRIMER ON KNOWLEDGE MANAGEMENT 7.3 THE MICROSOFT TECHNOLOGY-ENABLING FRAMEWORK 7.4 SUMMARY APPENDIX A: GLOSSARY APPENDIX B: REFERENCES APPENDIX C: WEB SITES APPENDIX D: DATA MINING AND KNOWLEDGE DISCOVERY DATA SETS IN THE PUBLIC DOMAIN APPENDIX E: MICROSOFT SOLUTION PROVIDERS APPENDIX F: SUMMARY OF KNOWLEDGE MANAGEMENT CASE STUDIES AND WEB LOCATIONS INDEX. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	De Ville, Barry Verfasser aut Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville Boston [u.a.] Digital Press 2001 xx, 315 p. ill. : 24 cm txt rdacontent n rdamedia nc rdacarrier Data management Includes index. OLE (Computer file) SQL server Data mining Data Mining (DE-588)4428654-5 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Data Mining (DE-588)4428654-5 s DE-604 http://www.loc.gov/catdir/toc/fy02/00047514.html Table of Contents LoC Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009844159&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
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title	Microsoft data mining integrated business intelligence for e-Commerce and knowledge management
title_auth	Microsoft data mining integrated business intelligence for e-Commerce and knowledge management
title_exact_search	Microsoft data mining integrated business intelligence for e-Commerce and knowledge management
title_full	Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville
title_fullStr	Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville
title_full_unstemmed	Microsoft data mining integrated business intelligence for e-Commerce and knowledge management Barry de Ville
title_short	Microsoft data mining
title_sort	microsoft data mining integrated business intelligence for e commerce and knowledge management
title_sub	integrated business intelligence for e-Commerce and knowledge management
topic	OLE (Computer file) SQL server Data mining Data Mining (DE-588)4428654-5 gnd
topic_facet	OLE (Computer file) SQL server Data mining Data Mining Einführung
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