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    SDM
    2009
    SIAM
    185views Data Mining» more  SDM 2009»
    Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
    14 years 8 months ago
    Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
    Download  www.cs.sfu.ca
    Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
    Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
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    SDM
    2009
    SIAM
    202views Data Mining» more  SDM 2009»
    Proximity-Based Anomaly Detection Using Sparse Structure Learning.
    14 years 8 months ago
    Proximity-Based Anomaly Detection Using Sparse Structure Learning.
    Download  www.research.ibm.com
    We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
    Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
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    SDM
    2009
    SIAM
    160views Data Mining» more  SDM 2009»
    Discovering Substantial Distinctions among Incremental Bi-Clusters.
    14 years 8 months ago
    Discovering Substantial Distinctions among Incremental Bi-Clusters.
    Download  www.siam.org
    A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
    Faris Alqadah, Raj Bhatnagar
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    SDM
    2009
    SIAM
    217views Data Mining» more  SDM 2009»
    A Framework for Exploring Categorical Data.
    14 years 8 months ago
    A Framework for Exploring Categorical Data.
    Download  www.siam.org
    In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
    Shyam Boriah, Varun Chandola, Vipin Kumar
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    SDM
    2009
    SIAM
    343views Data Mining» more  SDM 2009»
    Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
    14 years 8 months ago
    Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
    Download  www.siam.org
    Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
    Masashi Sugiyama, Yoshinobu Kawahara
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    SDM
    2009
    SIAM
    164views Data Mining» more  SDM 2009»
    Time-Decayed Correlated Aggregates over Data Streams.
    14 years 8 months ago
    Time-Decayed Correlated Aggregates over Data Streams.
    Download  www.siam.org
    Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
    Graham Cormode, Srikanta Tirthapura, Bojian Xu
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    SDM
    2009
    SIAM
    220views Data Mining» more  SDM 2009»
    Bayesian Cluster Ensembles.
    14 years 8 months ago
    Bayesian Cluster Ensembles.
    Download  www-users.cs.umn.edu
    Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
    Hongjun Wang, Hanhuai Shan, Arindam Banerjee
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    SDM
    2009
    SIAM
    114views Data Mining» more  SDM 2009»
    Top-k Correlative Graph Mining.
    14 years 8 months ago
    Top-k Correlative Graph Mining.
    Download  www.siam.org
    Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
    Yiping Ke, James Cheng, Jeffrey Xu Yu
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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    14 years 8 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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    SDM
    2009
    SIAM
    167views Data Mining» more  SDM 2009»
    Parallel Pairwise Clustering.
    14 years 8 months ago
    Parallel Pairwise Clustering.
    Download  www.siam.org
    Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
    Elad Yom-Tov, Noam Slonim
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