Data mining with microsoft SQL server 2008 (Record no. 76679)

MARC details
000 -LEADER
fixed length control field 03034nam a2200517 a 4500
001 - CONTROL NUMBER
control field vtls000080130
003 - CONTROL NUMBER IDENTIFIER
control field MTX
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160715001 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470277744
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470439296
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201607151158
Level of effort used to assign nonsubject heading access points staff
Level of effort used to assign subject headings 201606141507
Level of effort used to assign classification staff
-- 201605041237
-- admin
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Ebook
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name MacLennan, Jamie.
9 (RLIN) 117872
245 00 - TITLE STATEMENT
Title Data mining with microsoft SQL server 2008
Medium [electronic resource] /
Statement of responsibility, etc. MacLennan, Jamie;Tang, ZhaoHui;Crivat, Bogdan.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. WILEY,
Date of publication, distribution, etc. 2009.
300 ## - PHYSICAL DESCRIPTION
Extent 675 p.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 1: Introduction to Data Mining in SQL Server 2008.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 2: Applied Data Mining Using Microsoft Excel 2007.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 3: Data Mining Concepts and DMX.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 4: Using SQL Server Data Mining.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 5: Implementing a Data Mining Process Using Office 2007.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 6: Microsoft Naive Bayes.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 7: Microsoft Decision Trees Algorithm.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 8: Microsoft Time Series Algorithm.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 9: Microsoft Clustering.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 10: Microsoft Sequence Clustering.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 11: Microsoft Association Rules.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 12: Microsoft Neural Network and Logistic Regression.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 13: Mining OLAP Cubes.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 14: Data Mining with SQL Server Integration Services.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 15: SQL Server Data Mining Architecture.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 16: Programming SQL Server Data Mining.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 17: Extending SQL Server Data Mining.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 18: Implementing a Web Cross-Selling Application.
505 0# - FORMATTED CONTENTS NOTE
Miscellaneous information Chapter, Lesson, Part
Title Chapter 19: Conclusion and Additional Resources.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover, Title,Data mining with microsoft SQL server 2008--Preface, Introduction, TOC,About the Authors--Preface, Introduction, TOC,Credits--Preface, Introduction, TOC,Acknowledgments--Preface, Introduction, TOC,Contents at a Glance--Preface, Introduction, TOC,Contents--Preface, Introduction, TOC,Foreword--Preface, Introduction, TOC,Introduction--References, Appendix, Index,Appendix A: Data Sets--References, Appendix, Index,Appendix B: Supported Functions--References, Appendix, Index,Index.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers
9 (RLIN) 20382
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database management
9 (RLIN) 21145
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element General
9 (RLIN) 18876
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tang, ZhaoHui
9 (RLIN) 117873
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crivat, Bogdan.
9 (RLIN) 117874
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://portal.igpublish.com/iglibrary/search/WILEYB0001679.html">http://portal.igpublish.com/iglibrary/search/WILEYB0001679.html</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBook

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