000 -LEADER |
fixed length control field |
02995nam a22004695i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310151125.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
120709s2012 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783642298073 |
|
978-3-642-29807-3 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.D343 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.312 |
Edition number |
23 |
264 #1 - |
-- |
Berlin, Heidelberg : |
-- |
Springer Berlin Heidelberg : |
-- |
Imprint: Springer, |
-- |
2012. |
912 ## - |
-- |
ZDB-2-SCS |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Wu, Junjie. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Advances in K-means Clustering |
Medium |
[electronic resource] : |
Remainder of title |
A Data Mining Thinking / |
Statement of responsibility, etc |
by Junjie Wu. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVI, 178 p. 50 illus., 44 illus. in color. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Springer Theses, Recognizing Outstanding Ph.D. Research, |
International Standard Serial Number |
2190-5053 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Cluster Analysis and K-means Clustering: An Introduction -- The Uniform Effect of K-means Clustering -- Generalizing Distance Functions for Fuzzy c-Means Clustering -- Information-Theoretic K-means for Text Clustering -- Selecting External Validation Measures for K-means Clustering -- K-means Based Local Decomposition for Rare Class Analysis -- K-means Based Consensus Clustering. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science. |
|
Topical term or geographic name as entry element |
Database management. |
|
Topical term or geographic name as entry element |
Data mining. |
|
Topical term or geographic name as entry element |
Economics |
General subdivision |
Statistics. |
|
Topical term or geographic name as entry element |
Management information systems. |
|
Topical term or geographic name as entry element |
Computer Science. |
|
Topical term or geographic name as entry element |
Data Mining and Knowledge Discovery. |
|
Topical term or geographic name as entry element |
Statistics for Business/Economics/Mathematical Finance/Insurance. |
|
Topical term or geographic name as entry element |
Business Information Systems. |
|
Topical term or geographic name as entry element |
Database Management. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9783642298066 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-29807-3 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |