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    PAKDD
    2007
    ACM
    106views Data Mining» more  PAKDD 2007»
    Hierarchical Density-Based Clustering of Categorical Data and a Simplification
    13 years 11 months ago
    Hierarchical Density-Based Clustering of Categorical Data and a Simplification
    Download  www.cse.yorku.ca
    Bill Andreopoulos, Aijun An, Xiaogang Wang
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    PAKDD
    2007
    ACM
    110views Data Mining» more  PAKDD 2007»
    Combining Convolution Kernels Defined on Heterogeneous Sub-structures
    13 years 11 months ago
    Combining Convolution Kernels Defined on Heterogeneous Sub-structures
    Download  www.csai.tsinghua.edu.cn
    Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
    Minlie Huang, Xiaoyan Zhu
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    PAKDD
    2007
    ACM
    128views Data Mining» more  PAKDD 2007»
    Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
    13 years 11 months ago
    Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
    Download  ttic.uchicago.edu
    Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
    Liefeng Bo, Ling Wang, Licheng Jiao
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    PAKDD
    2007
    ACM
    140views Data Mining» more  PAKDD 2007»
    A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
    13 years 11 months ago
    A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
    Download  www.cis.syr.edu
    In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...
    Zhouxuan Teng, Wenliang Du
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    PAKDD
    2007
    ACM
    184views Data Mining» more  PAKDD 2007»
    A Fast Algorithm for Finding Correlation Clusters in Noise Data
    13 years 11 months ago
    A Fast Algorithm for Finding Correlation Clusters in Noise Data
    Download  eprints.usq.edu.au
    Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
    Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
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    PAKDD
    2007
    ACM
    99views Data Mining» more  PAKDD 2007»
    Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed
    13 years 11 months ago
    Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed
    Download  www.comp.nus.edu.sg
    Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Ta...
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    PAKDD
    2007
    ACM
    106views Data Mining» more  PAKDD 2007»
    Estimation of Class Membership Probabilities in the Document Classification
    13 years 11 months ago
    Estimation of Class Membership Probabilities in the Document Classification
    Download  www.lr.pi.titech.ac.jp
    Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
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    PAKDD
    2007
    ACM
    130views Data Mining» more  PAKDD 2007»
    Deriving Private Information from Arbitrarily Projected Data
    13 years 11 months ago
    Deriving Private Information from Arbitrarily Projected Data
    Download  www.sis.uncc.edu
    Distance-preserving projection based perturbation has gained much attention in privacy-preserving data mining in recent years since it mitigates the privacy/accuracy tradeoff by ac...
    Songtao Guo, Xintao Wu
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    PAKDD
    2007
    ACM
    143views Data Mining» more  PAKDD 2007»
    Clustering Ensembles Based on Normalized Edges
    13 years 11 months ago
    Clustering Ensembles Based on Normalized Edges
    Download  www.eecs.qmul.ac.uk
    The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
    Yan Li, Jian Yu, Pengwei Hao, Zhulin Li
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    PAKDD
    2007
    ACM
    166views Data Mining» more  PAKDD 2007»
    gPrune: A Constraint Pushing Framework for Graph Pattern Mining
    13 years 11 months ago
    gPrune: A Constraint Pushing Framework for Graph Pattern Mining
    Download  www.cs.uiuc.edu
    In graph mining applications, there has been an increasingly strong urge for imposing user-specified constraints on the mining results. However, unlike most traditional itemset co...
    Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
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