In this paper we present a comprehensive approach to conceptual structuring and intelligent navigation of text databases. Given any collection of texts, we first
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
This paper presents a framework for a learning based approach to dynamically evolve the conceptual structure of a database in order to facilitate virtual representation of data in ...
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
Abstract. In this paper we argue that many of the problems one may experience while visiting websites today may be avoided if their builders adopt a proper methodology for designin...