Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Abstract. Data centric languages, such as recursive rule based languages, have been proposed to program distributed applications over networks. They simplify greatly the code, whic...
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
As call centersbecomemorepervasive,the customersseek individualized service and greater attention. The call centers are becoming the contact centers - a one-stop, singleinterfacef...