In this paper, we introduce a system, written in Haskell, for filtering information from XML data. Essentially, the system implements a simple declarative language which allows on...
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Abstract We compare the performance of two database selection algorithms reported in the literature. Their performance is compared using a common testbed designed specifically for ...
James C. French, Allison L. Powell, James P. Calla...
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...