Ordering effects in clustering
ML92 Proceedings of the ninth international workshop on Machine learning
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
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Proceedings of the eleventh international conference on Information and knowledge management
BIRCH: A New Data Clustering Algorithm and Its Applications
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IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
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Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
pSearch: information retrieval in structured overlays
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ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Content-based retrieval in hybrid peer-to-peer networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Efficient Semantic-Based Content Search in P2P Network
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A hierarchical semantic overlay approach to P2P similarity search
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Tapestry: a resilient global-scale overlay for service deployment
IEEE Journal on Selected Areas in Communications
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Most existing Peer to Peer (P2P) systems support namebased retrieval and have provided very limited support for the full-text search of document contents. In this paper, we present a scheme (TRESCORE) to support content-based retrieval. First, we propose a tree structure to organize data objects in vector-format in the P2P system, which is height-balanced so that the time complexity of search can be decreased. Second, we give a simple strategy for the placement of tree's nodes, which can guarantee both load balancing and fault tolerance. Then an efficient policy for the query is given. Besides theoretical analysis that can prove the correctness of our scheme, a simulation-based study is carried out to evaluate its performance under various scenarios finally. In this study, it shows that using this content-based retrieval scheme (TRES-CORE) is more accurate and more efficient than some other schemes in the P2P system.