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    » Efficient Discovery of Confounders in Large Data Sets
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    ICDM
    2007
    IEEE
    169views Data Mining» more  ICDM 2007»
    Efficient Discovery of Frequent Approximate Sequential Patterns
    13 years 11 months ago
    Efficient Discovery of Frequent Approximate Sequential Patterns
    Download  www.cs.uiuc.edu
    We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
    Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
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    DMIN
    2006
    126views Data Mining» more  DMIN 2006»
    An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
    13 years 9 months ago
    An Algorithm for the Discovery of Arbitrary Length Ordinal Association Rules
    Download  ww1.ucmss.com
    Association rule mining techniques are used to search attribute-value pairs that occur frequently together in a data set. Ordinal association rules are a particular type of associa...
    Alina Campan, Gabriela Serban, Traian Marius Truta...
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    SDM
    2004
    SIAM
    211views Data Mining» more  SDM 2004»
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    13 years 9 months ago
    Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
    Download  www.dbs.informatik.uni-muenchen.de
    Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
    Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
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    NIPS
    2004
    141views Information Technology» more  NIPS 2004»
    Efficient Out-of-Sample Extension of Dominant-Set Clusters
    13 years 9 months ago
    Efficient Out-of-Sample Extension of Dominant-Set Clusters
    Download  books.nips.cc
    Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...
    Massimiliano Pavan, Marcello Pelillo
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    PKDD
    2001
    Springer
    108views Data Mining» more  PKDD 2001»
    Knowledge Discovery in Multi-label Phenotype Data
    14 years 2 days ago
    Knowledge Discovery in Multi-label Phenotype Data
    Download  users.aber.ac.uk
    The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
    Amanda Clare, Ross D. King
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