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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 6 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    SAC
    2008
    ACM
    158views Applied Computing» more  SAC 2008»
    Efficient concept clustering for ontology learning using an event life cycle on the web
    13 years 4 months ago
    Efficient concept clustering for ontology learning using an event life cycle on the web
    Download  sir-lab.usc.edu
    Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
    Sangsoo Sung, Seokkyung Chung, Dennis McLeod
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    KAIS
    2006
    164views more  KAIS 2006»
    On efficiently summarizing categorical databases
    13 years 4 months ago
    On efficiently summarizing categorical databases
    Download  glaros.dtc.umn.edu
    Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
    Jianyong Wang, George Karypis
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    KDD
    2006
    ACM
    201views Data Mining» more  KDD 2006»
    Clustering based large margin classification: a scalable approach using SOCP formulation
    14 years 5 months ago
    Clustering based large margin classification: a scalable approach using SOCP formulation
    Download  drona.csa.iisc.ernet.in
    This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
    J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
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    DATAMINE
    2006
    89views more  DATAMINE 2006»
    Scalable Clustering Algorithms with Balancing Constraints
    13 years 5 months ago
    Scalable Clustering Algorithms with Balancing Constraints
    Download  www-users.cs.umn.edu
    Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
    Arindam Banerjee, Joydeep Ghosh
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