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    SDM
    2009
    SIAM
    208views Data Mining» more  SDM 2009»
    Topic Evolution in a Stream of Documents.
    14 years 7 months ago
    Topic Evolution in a Stream of Documents.
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    Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
    Alexander Hinneburg, Andrè Gohr, Myra Spili...
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    IWDW
    2009
    Springer
    133views Image Processing» more  IWDW 2009»
    Fast Embedding Technique for Dirty Paper Trellis Watermarking
    14 years 2 months ago
    Fast Embedding Technique for Dirty Paper Trellis Watermarking
    Download  hal-lirmm.ccsd.cnrs.fr
    This paper deals with the improvement of the Dirty Paper Trellis Code (DPTC) watermarking algorithm. This watermarking algorithm is known to be one of the best among the high rate ...
    Marc Chaumont
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    SDM
    2009
    SIAM
    161views Data Mining» more  SDM 2009»
    Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems.
    14 years 7 months ago
    Polynomial-Delay and Polynomial-Space Algorithms for Mining Closed Sequences, Graphs, and Pictures in Accessible Set Systems.
    Download  www-ikn.ist.hokudai.ac.jp
    In this paper, we study efficient closed pattern mining in a general framework of set systems, which are families of subsets ordered by set-inclusion with a certain structure, pro...
    Hiroki Arimura, Takeaki Uno
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    SDM
    2009
    SIAM
    112views Data Mining» more  SDM 2009»
    A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
    14 years 7 months ago
    A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
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    Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
    Frederik Janssen, Johannes Fürnkranz
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    SDM
    2009
    SIAM
    105views Data Mining» more  SDM 2009»
    Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
    14 years 7 months ago
    Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
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    The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
    Gerhard Paaß, Frank Reichartz
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