Machine learning for social network analysis (Record no. 11722)

MARC details
000 -LEADER
fixed length control field 00962npc a2200169Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140613s2013 xx 000 0 und d
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number 006.3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name DE, SAGAR S
245 ## - TITLE STATEMENT
Title Machine learning for social network analysis
Remainder of title A systemetic literature review
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc. 2013
300 ## - PHYSICAL DESCRIPTION
Extent 30-51
520 ## - SUMMARY, ETC.
Summary, etc. The importance of machine learning for social network analysis is realized as an inevitable tool in forthcoming years. This is due to the unprecedented growth of social-related data, boosted by the proliferation of social media websites and embedded heterogeneity and complexity. Alongside the machine learning devices much effort from psychologists to build computational model for solving tasks like recognition, prediction, planning and analysis even in uncertain situations.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term COMPUTER SCIENCE
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term MACHINE LEARNING
773 ## - HOST ITEM ENTRY
Other item identifier P14782
Note M
Host Itemnumber 33643
Host Biblionumber 11231
Title IUP: JOURNAL OF INFORMATION TECHNOLOGY
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Articles

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