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    WSDM
    2010
    ACM
    322views Data Mining» more  WSDM 2010»
    Inferring Search Behaviors Using Partially Observable Markov (POM) Model
    15 years 7 months ago
    Inferring Search Behaviors Using Partially Observable Markov (POM) Model
    Download  www.wsdm-conference.org
    This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
    Kuansan Wang, Nikolas Gloy, Xiaolong Li
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    ASUNAM
    2009
    IEEE
    183views Social Networks» more  ASUNAM 2009»
    Modeling a Store's Product Space as a Social Network
    15 years 4 months ago
    Modeling a Store's Product Space as a Social Network
    Download  www.nd.edu
    A market basket is a set of products that form a single retail transaction. This purchase data of products can shed important light on how product(s) might influence sales of oth...
    Troy Raeder, Nitesh V. Chawla
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    SDM
    2008
    SIAM
    136views Data Mining» more  SDM 2008»
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    14 years 11 months ago
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    Download  www.di.unito.it
    In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
    Dino Ienco, Rosa Meo
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    KDD
    2006
    ACM
    170views Data Mining» more  KDD 2006»
    Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
    15 years 10 months ago
    Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
    Download  pages.cs.wisc.edu
    This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
    Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
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    VLDB
    2007
    ACM
    164views Database» more  VLDB 2007»
    A new intrusion detection system using support vector machines and hierarchical clustering
    15 years 9 months ago
    A new intrusion detection system using support vector machines and hierarchical clustering
    Download  www.utdallas.edu
    Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
    Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
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