The continuous technical advances have lead to the proliferation of very small and very cheap microprocessors, equipped with sensors and capacity of wireless communication. The in...
This paper uses an optimization approach to address the problem of conceptual clustering. The aim of AGAPE, which is based on the tabu-search meta-heuristic using split, merge and ...
We present an efficient dynamic algorithm for clustering undirected graphs, whose edge property is changing continuously. The algorithm maintains clusters of high quality in pres...
Abstract. The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of th...
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...