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    IFIP12
    2007
    110views Information Technology» more  IFIP12 2007»
    Clustering Improves the Exploration of Graph Mining Results
    15 years 22 days ago
    Clustering Improves the Exploration of Graph Mining Results
    Download  www.liacs.nl
    Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
    Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
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    LREC
    2008
    125views Education» more  LREC 2008»
    Adaptation of Relation Extraction Rules to New Domains
    15 years 22 days ago
    Adaptation of Relation Extraction Rules to New Domains
    Download  www.lrec-conf.org
    This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
    Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger
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    SDM
    2008
    SIAM
    164views Data Mining» more  SDM 2008»
    Randomizing Social Networks: a Spectrum Preserving Approach
    15 years 22 days ago
    Randomizing Social Networks: a Spectrum Preserving Approach
    Download  coitweb.uncc.edu
    Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. The nodes in the network are the individuals and...
    Xiaowei Ying, Xintao Wu
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    SIMUTOOLS
    2008
    366views Communications» more  SIMUTOOLS 2008»
    Simulating wireless and mobile networks in OMNeT++ the MiXiM vision
    15 years 22 days ago
    Simulating wireless and mobile networks in OMNeT++ the MiXiM vision
    Download  www.st.ewi.tudelft.nl
    Wireless communication has attracted considerable interest in the research community, and many wireless networks are evaluated using discrete event simulators like OMNeT++. Althou...
    A. Köpke, M. Swigulski, K. Wessel, D. Willkom...
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    NIPS
    2007
    134views Information Technology» more  NIPS 2007»
    Discriminative K-means for Clustering
    15 years 22 days ago
    Discriminative K-means for Clustering
    Download  books.nips.cc
    We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
    Jieping Ye, Zheng Zhao, Mingrui Wu
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