This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...
In this paper, we study the problem of keyword proximity search over XML documents and leverage the efficiency and effectiveness. We take the disjunctive semantics among input key...
Guoliang Li, Jianhua Feng, Jianyong Wang, Bei Yu, ...
We present optimal parallel algorithms that run in O( pn) time on a pn pn meshconnected computer for a number of fundamental problems concerning proximity and visibility in a simp...
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
In this paper we describe a novel solution for delay sensitive one-to-many content distribution in P2P networks based on cooperative m-ary trees. Our scheme maximizes the overall ...