Introduction to business data mining / (Record no. 3409)

MARC details
000 -LEADER
fixed length control field 02090nam a2200349Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260803094046.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251212s2007 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 007-124470-0
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number 006.312 Ol84i
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Olson, David
245 1# - TITLE STATEMENT
Title Introduction to business data mining /
Statement of responsibility, etc. David Olson.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. McGraw-Hill,
Date of publication, distribution, etc. 2007.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 273 p.:
300 ## - PHYSICAL DESCRIPTION
Dimensions 26 cm.
336 ## - CONTENT TYPE
Content type term Text
337 ## - MEDIA TYPE
Media type term Unmediated
338 ## - CARRIER TYPE
Carrier type term Volume
500 ## - GENERAL NOTE
General note Includes index
546 ## - LANGUAGE NOTE
Language note English
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Part I: INTRODUCTION 1: Initial Description of Data Mining in Business 2: Data Mining Processes and Knowledge Discovery 3: Database Support to Data Mining Part II: DATA MINING METHODS AS TOOLS 4: Overview of Data Mining Techniques 4 Appendix: Enterprise Miner Demonstration on Expenditure Data Set 5: Cluster Analysis 5 Appendix: Clementine 6: Regression Algorithms in Data Mining 7: Neural Networks in Data Mining 8: Decision Tree Algorithms 8 Appendix: Demonstration of See5 Decision Tree Analysis 9: Linear Programming-Based Methods 9 Appendix: Data Mining Linear Programming Formulations Part III: BUSINESS APPLICATIONS 10: Business Data Mining Applications Applications 11: Market-Basket Analysis 11 Appendix: Market-Basket Procedure Part IV: DEVELOPING ISSUES 12: Text and Web Mining 12 Appendix: Semantic Text Analysis 13: Ethical Aspects of Data Mining
520 ## - SUMMARY, ETC.
Summary, etc. Introduces students to the fundamental concepts of data mining. This text shows readers how to gather and analyze large sets of data to gain useful business understanding. It also describes and demonstrated basic data mining algorithms, and presents an overview of the developing areas in this field, including web mining, text mining, and more.
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650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business
General subdivision Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shi, Yong
943 ## - EQUIVALENCE OR CROSS-REFERENCE--COLLECTIVE TITLE [OBSOLETE] [CAN/MARC only]
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Date of treaty signing 0
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Date of a work 0
Miscellaneous information 0
Medium 0
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953 ## -
-- HED2579
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-- CollLib
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Institution code [OBSOLETE] rizal
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Edition 2015-04-07 23:18:18
998 ## - LOCAL CONTROL INFORMATION (RLIN)
MyRDA biblio 3422
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     FEU - Cavite Higher Education FEU - Cavite Higher Education HED Library 12/21/2025 006.312 Ol84i HED2579 06/02/2026 12/21/2025 Books