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Managing and Mining Graph Data (Record no. 21015)

000 -LEADER
fixed length control field 05006nam a22005055i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151109.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
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fixed length control field 100715s2010 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441960450
978-1-4419-6045-0
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D3
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Edition number 23
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2010.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Aggarwal, Charu C.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Managing and Mining Graph Data
Medium [electronic resource] /
Statement of responsibility, etc edited by Charu C. Aggarwal, Haixun Wang.
300 ## - PHYSICAL DESCRIPTION
Extent XXII, 600p. 40 illus., 20 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Advances in Database Systems,
International Standard Serial Number 1386-2944 ;
Volume number/sequential designation 40
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note An Introduction to Graph Data -- Graph Data Management and Mining: A Survey of Algorithms and Applications -- Graph Mining: Laws and Generators -- Query Language and Access Methods for Graph Databases -- Graph Indexing -- Graph Reachability Queries: A Survey -- Exact and Inexact Graph Matching: Methodology and Applications -- A Survey of Algorithms for Keyword Search on Graph Data -- A Survey of Clustering Algorithms for Graph Data -- A Survey of Algorithms for Dense Subgraph Discovery -- Graph Classification -- Mining Graph Patterns -- A Survey on Streaming Algorithms for Massive Graphs -- A Survey of Privacy-Preservation of Graphs and Social Networks -- A Survey of Graph Mining for Web Applications -- Graph Mining Applications to Social Network Analysis -- Software-Bug Localization with Graph Mining -- A Survey of Graph Mining Techniques for Biological Datasets -- Trends in Chemical Graph Data Mining.
520 ## - SUMMARY, ETC.
Summary, etc Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science. About the Editors: Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has worked as a researcher at IBM since then, and has published over 130 papers in major data mining conferences and journals. He has applied for or been granted over 70 US and International patents, and has thrice been designated a Master Inventor at IBM. He has received an IBM Corporate award for his work on data stream analytics, and an IBM Outstanding Innovation Award for his work on privacy technology. He has served on the executive committees of most major data mining conferences. He has served as an associate editor of the IEEE TKDE, as an associate editor of the ACM SIGKDD Explorations, and as an action editor of the DMKD Journal. He is a fellow of the IEEE, and a life-member of the ACM. Haixun Wang is currently a researcher at Microsoft Research Asia. He received the B.S. and the M.S. degree, both in computer science, from Shanghai Jiao Tong University in 1994 and 1996. He received the Ph.D. degree in computer science from the University of California, Los Angeles in 2000. He subsequently worked as a researcher at IBM until 2009. His main research interest is database language and systems, data mining, and information retrieval. He has published more than 100 research papers in referred international journals and conference proceedings. He serves as an associate editor of the IEEE TKDE, and has served as a reviewer and program committee member of leading database conferences and journals.
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 Information storage and retrieval systems.
Topical term or geographic name as entry element Information systems.
Topical term or geographic name as entry element Computer graphics.
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 and Knowledge Discovery.
Topical term or geographic name as entry element Computer Graphics.
Topical term or geographic name as entry element Information Storage and Retrieval.
Topical term or geographic name as entry element Information Systems Applications (incl.Internet).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wang, Haixun.
Relator term editor.
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 9781441960443
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-6045-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library005.74