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    KDD
    1997
    ACM
    213views Data Mining» more  KDD 1997»
    A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
    14 years 1 months ago
    A Probabilistic Approach to Fast Pattern Matching in Time Series Databases
    Download  www.aaai.org
    Theproblemof efficiently and accurately locating patterns of interest in massivetimeseries data sets is an important and non-trivial problemin a wide variety of applications, incl...
    Eamonn J. Keogh, Padhraic Smyth
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    SDM
    2008
    SIAM
    197views Data Mining» more  SDM 2008»
    A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
    13 years 10 months ago
    A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
    Download  cui.unige.ch
    Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
    Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
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    GFKL
    2006
    Springer
    75views Data Mining» more  GFKL 2006»
    Classification of Contradiction Patterns
    14 years 26 days ago
    Classification of Contradiction Patterns
    Download  www.dbis.informatik.hu-berlin.de
    Abstract. Solving conflicts between overlapping databases requires an understanding of the reasons that lead to the inconsistencies. Provided that conflicts do not occur randomly b...
    Heiko Müller, Ulf Leser, Johann Christoph Fre...
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    FIMI
    2003
    95views Data Mining» more  FIMI 2003»
    Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets
    13 years 10 months ago
    Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets
    Download  sunsite.informatik.rwth-aachen.de
    A simple new algorithm is suggested for frequent itemset mining, using item probabilities as the basis for generating candidates. The method first finds all the frequent items, an...
    Attila Gyenesei, Jukka Teuhola
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    PRIB
    2009
    Springer
    187views Bioinformatics» more  PRIB 2009»
    Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
    14 years 1 months ago
    Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
    Download  www.dcs.gla.ac.uk
    Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
    Tamara Polajnar, Mark A. Girolami
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