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    SDM
    2008
    SIAM
    147views Data Mining» more  SDM 2008»
    The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining
    13 years 6 months ago
    The Asymmetric Approximate Anytime Join: A New Primitive with Applications to Data Mining
    Download  www.cs.ucr.edu
    It has long been noted that many data mining algorithms can be built on top of join algorithms. This has lead to a wealth of recent work on efficiently supporting such joins with ...
    Lexiang Ye, Xiaoyue Wang, Dragomir Yankov, Eamonn ...
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    SDM
    2008
    SIAM
    130views Data Mining» more  SDM 2008»
    Mining Sequence Classifiers for Early Prediction
    13 years 6 months ago
    Mining Sequence Classifiers for Early Prediction
    Download  www.cs.sfu.ca
    Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
    Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
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    SDM
    2008
    SIAM
    150views Data Mining» more  SDM 2008»
    A Stagewise Least Square Loss Function for Classification
    13 years 6 months ago
    A Stagewise Least Square Loss Function for Classification
    Download  nlpr-web.ia.ac.cn
    This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
    Shuang-Hong Yang, Bao-Gang Hu
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    SDM
    2008
    SIAM
    97views Data Mining» more  SDM 2008»
    Efficient Distribution Mining and Classification
    13 years 6 months ago
    Efficient Distribution Mining and Classification
    Download  www.db.cs.cmu.edu
    We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
    Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
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    SDM
    2008
    SIAM
    176views Data Mining» more  SDM 2008»
    A General Model for Multiple View Unsupervised Learning
    13 years 6 months ago
    A General Model for Multiple View Unsupervised Learning
    Download  www.cs.binghamton.edu
    Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
    Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
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    SDM
    2008
    SIAM
    256views Data Mining» more  SDM 2008»
    Graph Mining with Variational Dirichlet Process Mixture Models
    13 years 6 months ago
    Graph Mining with Variational Dirichlet Process Mixture Models
    Download  sato-www.cs.titech.ac.jp
    Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
    Koji Tsuda, Kenichi Kurihara
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Robust Clustering in Arbitrarily Oriented Subspaces
    13 years 6 months ago
    Robust Clustering in Arbitrarily Oriented Subspaces
    Download  www.dbs.informatik.uni-muenchen.de
    In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
    Elke Achtert, Christian Böhm, Jörn David...
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    SDM
    2008
    SIAM
    134views Data Mining» more  SDM 2008»
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    13 years 6 months ago
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    Download  sugiyama-www.cs.titech.ac.jp
    Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
    Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
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    SDM
    2008
    SIAM
    135views Data Mining» more  SDM 2008»
    A Spamicity Approach to Web Spam Detection
    13 years 6 months ago
    A Spamicity Approach to Web Spam Detection
    Download  www.cs.sfu.ca
    Web spam, which refers to any deliberate actions bringing to selected web pages an unjustifiable favorable relevance or importance, is one of the major obstacles for high quality ...
    Bin Zhou 0002, Jian Pei, ZhaoHui Tang
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