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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
SCALABLE LEARNING OF BEHAVIOURAL FEATURES FOR CLASSIFYING USERS IN COLOSSAL SOCIAL ENVIRONMENTS
Authors
Ms.P.Ranjitha, Dr.S.Siamala Devi
Keywords
Support Vector Machine, Independent Identically Distributed, Social Tagging Systems, Common Language Runtime
Abstract
The Framework proposes an efficient approach to the user behaviour clustering in social networking website Latent social dimensions are extracted based on network topology to capture the potential applications of user in social network. These extracted social dimensions characterize how each other is concerned in different application affiliations. The social dimensions can be treated as features of actors for following dictionary learning. Sensor network features, typically support vector machine and forward with select based regression can be engaged. Social dimensions extracted according to soft clustering, ok such as modularity maximization and probabilistic methods. This sparse dictionary learning course of action will determine which social dimension correlates with the targeted behaviour and then assign proper weight. Observation is that actors of the same affiliation tend to connect with each other
IJCRT's Publication Details
Unique Identification Number - IJCRT1705376
Paper ID - 181326
Page Number(s) - 911-919
Pubished in - Volume 6 | Issue 1 | January 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Ms.P.Ranjitha, Dr.S.Siamala Devi, "SCALABLE LEARNING OF BEHAVIOURAL FEATURES FOR CLASSIFYING USERS IN COLOSSAL SOCIAL ENVIRONMENTS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.911-919, January 2018, Available at :http://www.ijcrt.org/papers/IJCRT1705376.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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