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    SDM
    2007
    SIAM
    198views Data Mining» more  SDM 2007»
    Learning from Time-Changing Data with Adaptive Windowing
    13 years 10 months ago
    Learning from Time-Changing Data with Adaptive Windowing
    Download  siam.org
    We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
    Albert Bifet, Ricard Gavaldà
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    SDM
    2007
    SIAM
    112views Data Mining» more  SDM 2007»
    PoClustering: Lossless Clustering of Dissimilarity Data
    13 years 10 months ago
    PoClustering: Lossless Clustering of Dissimilarity Data
    Download  siam.org
    Given a set of objects V with a dissimilarity measure between pairs of objects in V , a PoCluster is a collection of sets P ⊂ powerset(V ) partially ordered by the ⊂ relation ...
    Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
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    MSV
    2004
    162views Modeling And Simulation» more  MSV 2004»
    MABAC - Matrix Based Clustering Algorithm
    13 years 10 months ago
    MABAC - Matrix Based Clustering Algorithm
    Download  sosa.ucsd.edu
    Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
    Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
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    SDM
    2004
    SIAM
    194views Data Mining» more  SDM 2004»
    Finding Frequent Patterns in a Large Sparse Graph
    13 years 10 months ago
    Finding Frequent Patterns in a Large Sparse Graph
    Download  glaros.dtc.umn.edu
    Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
    Michihiro Kuramochi, George Karypis
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    SDM
    2004
    SIAM
    144views Data Mining» more  SDM 2004»
    RBA: An Integrated Framework for Regression based on Association Rules
    13 years 10 months ago
    RBA: An Integrated Framework for Regression based on Association Rules
    Download  www-users.cs.umn.edu
    This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
    Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
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