MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01619cam a2200301 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
17718102 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20140212123239.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
130430t2013 ii a g 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2013008698 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789382291497(pbk) |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
NCL |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.741 |
| Item number |
KUM-D 2013 4501 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kumar, Tv Suresh |
| 245 1# - TITLE STATEMENT |
|---|
| Title |
Data mining : |
| Remainder of title |
principles and applications / |
| Statement of responsibility, etc. |
by T V Suresh Kumar, B Eswara Reddy & Jagadish G Kallimani |
| 246 14 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Data mining : |
| Remainder of title |
principles & applications / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
New Delhi : |
| Name of publisher, distributor, etc. |
Sheel Print-N-Pack, |
| Date of publication, distribution, etc. |
2013 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
v, 373 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Chapman & Hall/CRC data mining and knowledge discovery series |
| 500 ## - GENERAL NOTE |
|---|
| General note |
index included |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
File organization (Computer science) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
COMPUTERS / Database Management / Data Mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Reddy, B Eswara |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kallimani, Jagadish G |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Books |
