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The paper focuses on some key problems in Web communities' discovery. Based on topic-oriented communities discovery, we analyze some insufficiencies of CBG (complete bipartite graph) in trawling method. The conception of x-core-set is introduced, instead of CBG, it is more reasonable as a signature of core of community. We construct a bipartite graph from a node x and then (i, j)pruning the graph...
Fold recognition is an important issue in protein structure research. The Rossmann-fold protein that has typical structure is a common kind of alpha/beta protein. The training set, selected from 22 families, is constituted of 79 Rossmann-fold proteins which have less than 25% sequence identity with each other. The hierarchical clustering method according to RMSD is applied and a profile-HMM based...
This paper proposes a variation-based online travel time prediction approach using clustered Neural Networks with traffic vectors extracted from raw detector data as the input variables. Different from previous studies, the proposed approach decomposes the corridor travel time into two parts: 1) the base term, which is predicted by a fuzzy membership-value-weighted average of the clustered historical...
Search result clustering can help users quickly browse through the documents returned by search engine. Traditional clustering techniques are inadequate since they don't generate clusters with highly readable names. Label-based clustering is quite promising, which usually takes n-gram (usually bi-gram) as label candidates. However, meaningless n-grams are not removed from the candidates. In this paper,...
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