MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03349cam a22003374i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
17783518 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20150224173123.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
130619s2014 flua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2013019699 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781439860847 (hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.D343 |
| Item number |
P725 2014 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.312 SAM/Pra |
| Edition number |
23 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
BUS061000 |
| -- |
COM021030 |
| -- |
COM037000 |
| Source of number |
bisacsh |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Practical graph mining with R |
| Statement of responsibility, etc |
editors, Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan Chakraborty. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Boca Raton: |
| Name of publisher, distributor, etc |
CRC Press; |
| Date of publication, distribution, etc |
2014 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxi, 473 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
25 cm. |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Chapman & Hall/CRC data mining and knowledge discovery series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from another, and the use of those patterns to predict the category of new graphs.Hands-On Application of Graph Data MiningEach chapter in the book focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through applications using real data sets, the book demonstrates how computational techniques can help solve real-world problems. The applications covered include network intrusion detection, tumor cell diagnostics, face recognition, predictive toxicology, mining metabolic and protein-protein interaction networks, and community detection in social networks.Develops Intuition through Easy-to-Follow Examples and Rigorous Mathematical FoundationsEvery algorithm and example is accompanied with R code. This allows readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in practice. The text also gives a rigorous, formal explanation of the underlying mathematics of each technique.Makes Graph Mining Accessible to Various Levels of ExpertiseAssuming no prior knowledge of mathematics or data mining, this self-contained book is accessible to students, researchers, and practitioners of graph data mining. It is suitable as a primary textbook for graph mining or as a supplement to a standard data mining course. It can also be used as a reference for researchers in computer, information, and computational science as well as a handy guide for data analytics practitioners"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| General subdivision |
Graphic methods. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data visualization |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
BUSINESS & ECONOMICS / Statistics. |
| Source of heading or term |
bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as 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 as entry element |
COMPUTERS / Machine Theory. |
| Source of heading or term |
bisacsh |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Samatova, Nagiza F. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 955 ## - COPY-LEVEL INFORMATION (RLIN) |
|---|
| Book number/undivided call number, CCAL (RLIN) |
xh12 2013-06-19 |
| Copy status, CST (RLIN) |
xh12 2013-06-19 ONIX to Dewey |
| Classification number, CCAL (RLIN) |
xn09 2013-08-15 1 copy rec'd., to CIP ver. |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| Koha normalized classification for sorting |
006_312000000000000_SAMPRA |
| Koha itemnumber |
153735 |
