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    SDM
    2011
    SIAM
    203views Data Mining» more  SDM 2011»
    Interpreting and Unifying Outlier Scores
    13 years 2 months ago
    Interpreting and Unifying Outlier Scores
    Download  www.dbs.ifi.lmu.de
    Outlier scores provided by different outlier models differ widely in their meaning, range, and contrast between different outlier models and, hence, are not easily comparable o...
    Hans-Peter Kriegel, Peer Kröger, Erich Schube...
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    SDM
    2011
    SIAM
    223views Data Mining» more  SDM 2011»
    Characterizing Uncertain Data using Compression
    13 years 2 months ago
    Characterizing Uncertain Data using Compression
    Download  www.francescobonchi.com
    Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
    Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...
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    SDM
    2011
    SIAM
    370views Data Mining» more  SDM 2011»
    Sparse Latent Semantic Analysis
    13 years 2 months ago
    Sparse Latent Semantic Analysis
    Download  www.cs.cmu.edu
    Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
    Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
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    SDM
    2011
    SIAM
    179views Data Mining» more  SDM 2011»
    Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering
    13 years 2 months ago
    Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering
    Download  www.computing.edu.au
    Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
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    SDM
    2011
    SIAM
    230views Data Mining» more  SDM 2011»
    Multidimensional Association Rules in Boolean Tensors
    13 years 2 months ago
    Multidimensional Association Rules in Boolean Tensors
    Download  liris.cnrs.fr
    Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
    Kim-Ngan Nguyen, Loïc Cerf, Marc Plantevit, J...
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    SDM
    2011
    SIAM
    269views Data Mining» more  SDM 2011»
    Semi-Supervised Convolution Graph Kernels for Relation Extraction
    13 years 2 months ago
    Semi-Supervised Convolution Graph Kernels for Relation Extraction
    Download  www.cs.cmu.edu
    Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
    Xia Ning, Yanjun Qi
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    SDM
    2011
    SIAM
    183views Data Mining» more  SDM 2011»
    Nonparametric Bayesian Co-clustering Ensembles
    13 years 2 months ago
    Nonparametric Bayesian Co-clustering Ensembles
    Download  www.cs.gmu.edu
    A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
    Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...
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    SDM
    2011
    SIAM
    307views Data Mining» more  SDM 2011»
    Block-LDA: Jointly modeling entity-annotated text and entity-entity links
    13 years 2 months ago
    Block-LDA: Jointly modeling entity-annotated text and entity-entity links
    Download  www.cs.cmu.edu
    We present a model that improves entity entity link modeling in a mixed membership stochastic block model, by jointly modeling links with text about the entities that are linked i...
    Ramnath Balasubramanyan, William W. Cohen
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    SDM
    2011
    SIAM
    241views Data Mining» more  SDM 2011»
    A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria
    13 years 2 months ago
    A Fast Algorithm for Sparse PCA and a New Sparsity Control Criteria
    Download  fodava.gatech.edu
    Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
    Yunlong He, Renato Monteiro, Haesun Park
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