Machine learning for social network analysis (Record no. 11722)
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000 -LEADER | |
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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 |
No items available.