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|Title:||Intelligent content-based retrieval for peer-to-peer networks||Authors:||Rodionov Maxim.||Keywords:||DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval||Issue Date:||2004||Abstract:||In this thesis, we propose an intelligent P2P content-based document retrieval system known as iSearch-P2P. In iSearch-P2P, we have incorporated several intelligent techniques including Fuzzy Adaptive Resonance Theory (Fuzzy ART), Support Vector Machine (SVM) and k-Nearest Neighbor (k-NN) to perform document clustering in order to support content-based publishing and retrieval over P2P networks. In this thesis, we first review the related research work. The architecture, publishing and retrieval processes, implementation and performance evaluation of the proposed iSearch-P2P system are then discussed.||URI:||http://hdl.handle.net/10356/2436||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Theses|
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