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dc.contributor.authorEisenhardt, Martin
dc.contributor.authorMüller, Wolfgang
dc.contributor.authorHenrich, Andreas
dc.contributor.editorDittrich, Klaus R.
dc.contributor.editorKönig, Wolfgang
dc.contributor.editorOberweis, Andreas
dc.contributor.editorRannenberg, Kai
dc.contributor.editorWahlster, Wolfgang
dc.date.accessioned2019-11-14T10:42:57Z
dc.date.available2019-11-14T10:42:57Z
dc.date.issued2003
dc.identifier.isbn3-88579-364-4
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/29710
dc.description.abstractClustering documents into classes is an important task in many Information Retrieval (IR) systems. This achieved grouping enables a description of the contents of the document collection in terms of the classes the documents fall into. The compactness of such a description is even more desirable in cases where the document collection is spread across different computers and locations; document classes can then be used to describe each partial document collection in a conveniently short form that can easily be exchanged with other nodes on the network. Unfortunately, most clustering schemes cannot easily be distributed. Additionally, the costs of transferring all data to a central clustering service are prohibitive in large-scale systems. In this paper, we introduce an approach which is capable of classifying documents that are distributed across a Peer-to-Peer (P2P) network. We present measurements taken on a P2P network using synthetic and real-world data sets.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2003 – Innovative Informatikanwendungen, Band 2, Beiträge der 33. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-35
dc.titleClassifying documents by distributed P2P clusteringen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages286-291
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationFrankfurt am Main
mci.conference.date29. September - 2. Oktober 2003


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