MARC details
000 -LEADER |
fixed length control field |
03676cam a2200421 i 4500 |
001 - CONTROL NUMBER |
control field |
18053571 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20191128155908.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
140304t20142014flua b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2013050912 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781466586741 (hardback : acidfree paper) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Modifying agency |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.F5 |
Item number |
.D38 2014 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.74/1 |
Edition number |
23 |
084 ## - OTHER CLASSIFICATION NUMBER |
Classification number |
BUS061000 |
-- |
COM021030 |
-- |
COM037000 |
Number source |
bisacsh |
245 00 - TITLE STATEMENT |
Title |
Data classification : |
Remainder of title |
algorithms and applications / |
Statement of responsibility, etc. |
edited by Charu C. Aggarwal, IBM T. J. Watson Research Center, Yorktown Heights, New York, USA . |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Boca Raton : |
Name of producer, publisher, distributor, manufacturer |
CRC Press, Taylor & Francis Group, |
Date of production, publication, distribution, manufacture, or copyright notice |
[2014] |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Date of production, publication, distribution, manufacture, or copyright notice |
©2014 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxvii, 671 pages : |
Other physical details |
illustrations (some color) ; |
Dimensions |
26 cm. |
336 ## - CONTENT TYPE |
Content type term |
text |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
Source |
rdacarrier |
490 0# - SERIES STATEMENT |
Series statement |
Chapman & Hall/CRC data mining and knowledge discovery series |
500 ## - GENERAL NOTE |
General note |
"A Chapman & Hall book." |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data.This comprehensive book focuses on three primary aspects of data classification:MethodsThe book first describes common techniques used for classification, including probabilistic methods, decision trees, rule-based methods, instance-based methods, support vector machine methods, and neural networks. DomainsThe book then examines specific methods used for data domains such as multimedia, text, time-series, network, discrete sequence, and uncertain data. It also covers large data sets and data streams due to the recent importance of the big data paradigm. VariationsThe book concludes with insight on variations of the classification process. It discusses ensembles, rare-class learning, distance function learning, active learning, visual learning, transfer learning, and semi-supervised learning as well as evaluation aspects of classifiers"-- |
Assigning source |
Provided by publisher. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"This book homes in on three primary aspects of data classification: the core methods for data classification including probabilistic classification, decision trees, rule-based methods, and SVM methods; different problem domains and scenarios such as multimedia data, text data, biological data, categorical data, network data, data streams and uncertain data: and different variations of the classification problem such as ensemble methods, visual methods, transfer learning, semi-supervised methods and active learning. These advanced methods can be used to enhance the quality of the underlying classification results"-- |
Assigning source |
Provided by publisher. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
File organization (Computer science) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Categories (Mathematics) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Algorithms. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
BUSINESS & ECONOMICS / Statistics. |
Source of heading or term |
bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
COMPUTERS / Database Management / Data Mining. |
Source of heading or term |
bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
COMPUTERS / Machine Theory. |
Source of heading or term |
bisacsh |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
<a href="Aggarwal, Charu C.">Aggarwal, Charu C.</a> |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Universal Decimal Classification |
Koha item type |
Books |