Intelligent content-based retrieval for peer-to-peer networks

Intelligent content-based retrieval for peer-to-peer networks

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...

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Main Author: Rodionov Maxim.
Other Authors: Hui, Siu Cheung
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Online Access:http://hdl.handle.net/10356/2436
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-2436
record_format dspace
spelling sg-ntu-dr.10356-24362023-03-04T00:32:23Z Intelligent content-based retrieval for peer-to-peer networks Rodionov Maxim. Hui, Siu Cheung School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval 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. Master of Engineering (SCE) 2008-09-17T09:02:58Z 2008-09-17T09:02:58Z 2004 2004 Thesis http://hdl.handle.net/10356/2436 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Rodionov Maxim.
Intelligent content-based retrieval for peer-to-peer networks
description 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.
author2 Hui, Siu Cheung
author_facet Hui, Siu Cheung
Rodionov Maxim.
format Theses and Dissertations
author Rodionov Maxim.
author_sort Rodionov Maxim.
title Intelligent content-based retrieval for peer-to-peer networks
title_short Intelligent content-based retrieval for peer-to-peer networks
title_full Intelligent content-based retrieval for peer-to-peer networks
title_fullStr Intelligent content-based retrieval for peer-to-peer networks
title_full_unstemmed Intelligent content-based retrieval for peer-to-peer networks
title_sort intelligent content-based retrieval for peer-to-peer networks
publishDate 2008
url http://hdl.handle.net/10356/2436
_version_ 1759856545834729472

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