878 search results - page 26 / 176 » Modeling Relational Data as Graphs for Mining |
139
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ACSC
2009
IEEE
15 years 11 months ago
2009
IEEE
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
111
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INCDM
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. In a recommender system where users rate items we predict the rating of items users have not rated. We define a rating graph containing users and items as vertices and r...
159
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
141
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IADIS
2008
15 years 5 months ago
2008
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
126
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ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...