Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
n abstract computer virology G. Bonfante, M. Kaczmarek, and J-Y Marion Loria, Calligramme project, B.P. 239, 54506 VandÅ“uvre-l`es-Nancy C´edex, France, and ´Ecole Nationale SupÂ...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...