Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...
Contemporary work increasingly involves interacting with strangers in technology-mediated environments. In this context, we come to rely on digital artifacts to infer characterist...
N. Sadat Shami, Kate Ehrlich, Geri Gay, Jeffrey T....
Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic prof...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raym...
Abstract. The accurate extraction of scholarly reference information from scientific publications is essential for many useful applications like BIBTEX management systems or citati...