Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Enterprises may have multiple database systems spread across the organization for redundancy or for serving different applications. In such systems, query workloads can be distrib...
While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are not easily parallelized for execution upon them. In...
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, Davi...