Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Web Modeling Language (WebML, http://webml.org) is a notation for visually specifying complex Web sites at the conceptual level. All the concepts of WebML are specified both graph...
Enosys Markets offers a state-of-the-art data integration software platform to support the development of the next generation of eBusiness applications that deliver value by provi...