Data mining : (Record no. 11464)

MARC details
000 -LEADER
fixed length control field 02241nam a2200241Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520100703.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780123814791
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA 76.9.D38 .H36 2012
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Han, Jiawei
Relator term author
245 #0 - TITLE STATEMENT
Title Data mining :
Remainder of title concepts and techniques /
Statement of responsibility, etc. Jiawei Han, Micheline Kamber, and Jian Pei
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Amsterdam :
Name of publisher, distributor, etc. Elsevier Science,
Date of publication, distribution, etc. c2012
300 ## - PHYSICAL DESCRIPTION
Extent xxxv, 703 pages :
Other physical details illustrations ;
Dimensions 25 cm.
365 ## - TRADE PRICE
Price amount USD53.97
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Introduction -- Chapter 2. Getting to know your data -- Chapter 3. Data processing -- Chapter 4. Data warehousing and online analytical processing -- Chapter 5. Data cube technology -- Chapter 6. Mining frequent patterns, associations, and correlations : basic concepts and methods -- Chapter 7. Advanced pattern mining -- Chapter 8. Classification : basic concepts -- Chapter 9. Classification : advanced methods -- Chapter 10. Cluster analysis : basic concepts and methods -- Chapter 11. Advanced cluster analysis -- Chapter 12. Outliner detection -- Chapter 13. Data mining trends and research frontiers.
520 ## - SUMMARY, ETC.
Summary, etc. The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it’s still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also focuses on new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element DATA MINING
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Kamber, Micheline;Pei, Jian
Relator term co-author;co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Gen. Ed. - CCIT LRC - Graduate Studies National University - Manila General Circulation 03/24/2015 Purchased - Amazon 53.97   GC QA 76.9.D38 .H36 2012 NULIB000009223 05/20/2025 c.1 05/20/2025 Books