Skip navigation


Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2407
Title: State Space Model for Link Mining
Authors: . Birla, Kushal P
.Kamalapur, Prof. S.M
Keywords: Data Mining
Temporal link prediction
Kalman filter,
Matrix factorization
Issue Date: 1-Apr-2013
Abstract: This 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.
URI: http://192.168.3.232:8080/jspui/handle/123456789/2407
Appears in Collections:Computer

Files in This Item:
File Description SizeFormat 
IJETTCS-April2013.pdf115 kBUnknownView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.