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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2407
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dc.contributor.author. Birla, Kushal P-
dc.contributor.author.Kamalapur, Prof. S.M-
dc.date.accessioned2019-08-26T10:40:35Z-
dc.date.available2019-08-26T10:40:35Z-
dc.date.issued2013-04-01-
dc.identifier.urihttp://192.168.3.232:8080/jspui/handle/123456789/2407-
dc.description.abstractThis paper introduces state space approach for link mining task such as link prediction. It provides applicability of state space model for predictive analytics, where data objects be homogeneous or heterogeneous and are interrelated using some relation called as link. This paper aims to introduce promising research direction of state space model like Kalman filter to approach temporal link prediction problem.en_US
dc.subjectData Miningen_US
dc.subjectTemporal link predictionen_US
dc.subjectKalman filter,en_US
dc.subjectMatrix factorizationen_US
dc.titleState Space Model for Link Miningen_US
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