Data mining : (Record no. 1191)

MARC details
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090714s2007 nyua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2007921581
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387333335
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0387333339
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387367958
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0387367950
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u2096
040 ## - CATALOGING SOURCE
Original cataloging agency EG-CaNU
Transcribing agency EG-CaNU
Modifying agency EG-CaNU
042 ## - AUTHENTICATION CODE
Authentication code ncode
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 22
245 00 - TITLE STATEMENT
Title Data mining :
Remainder of title a knowledge discovery approach /
Statement of responsibility, etc. Krzysztof J. Cios... [et al.].
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Norwell, MA :
Name of publisher, distributor, etc. Springer ,
Date of publication, distribution, etc. 2007.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 606 p. :
Other physical details ill. ;
Dimensions 26 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Introduction -- Chapter 2. The Knowledge Discovery Process -- Chapter 3. Data -- Chapter 4. Concepts of Learning, Classification, and Regression -- Chapter 5. Knowledge Representation -- Chapter 6. Databases, Data Warehouses, and OLAP -- Chapter 7. Feature Extraction and Selection Methods -- Chapter 8. Discretization Methods -- Chapter 9. Unsupervised Learning: Clustering -- Chapter 10. Unsupervised Learning: Association Rules -- Chapter 11. Supervised Learning: Statistical Methods -- Chapter 12. Supervised Learning: Decision Trees, Rule Algorithms, and Their Hybrids -- Chapter 13. Supervised Learning: Neural Networks -- Chapter 14. Text Mining -- Chapter 15. Assessment of Data Models -- Chapter 16. Data Security, Privacy and Data Mining.
520 ## - SUMMARY, ETC.
Summary, etc. This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.
596 ## -
-- 1
630 ## - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title Data Mining
9 (RLIN) 1367
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 3553
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cios, Krzysztof J.
9 (RLIN) 3554
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main library Main library General Stacks 01/26/2020 IKRAA   006.312 / CI.D 2007 003625 11/24/2019 1 11/24/2019 Books