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 |