Practical graph mining with R (Record no. 182134)

000 -LEADER
fixed length control field 02998cam a22002774i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130619s2014 flua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439860847
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number P7
245 00 - TITLE STATEMENT
Title Practical graph mining with R
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 p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
9 (RLIN) 284499
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 - Graphic methods
9 (RLIN) 284500
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data visualization - Data processing
9 (RLIN) 284501
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
9 (RLIN) 284502
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business and Economics - Statistics
9 (RLIN) 284503
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers - Database Management - Data Mining
9 (RLIN) 284504
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers - Machine theory
9 (RLIN) 284505
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Samatova, Nagiza F.
Relator term Editor
9 (RLIN) 284506
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hendrix, William
Relator term Editor
9 (RLIN) 284507
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jenkins, John
Relator term Editor
9 (RLIN) 284508
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Padmanabhan, Kanchana
Relator term Editor
9 (RLIN) 284509
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chakraborty, Arpan
Relator term Editor
9 (RLIN) 284510
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library   08/04/2014 Pustak 4283.14 Slot 105 (0 Floor, West Wing) 4 6 006.312 P7 181815 15/12/2019 24/05/2019 5353.93 Books

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