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    SDM
    2009
    SIAM
    176views Data Mining» more  SDM 2009»
    Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
    14 years 8 months ago
    Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
    Download  www.cs.umb.edu
    Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
    Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
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    SDM
    2009
    SIAM
    219views Data Mining» more  SDM 2009»
    A Hybrid Data Mining Metaheuristic for the p-Median Problem.
    14 years 8 months ago
    A Hybrid Data Mining Metaheuristic for the p-Median Problem.
    Download  www.siam.org
    Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In t...
    Alexandre Plastino, Erick R. Fonseca, Richard Fuch...
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    SDM
    2009
    SIAM
    127views Data Mining» more  SDM 2009»
    Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
    14 years 8 months ago
    Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
    Download  www.cs.toronto.edu
    Anthony J. Bonner, Martin Renqiang Min, Rui Kuang,...
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    SDM
    2009
    SIAM
    118views Data Mining» more  SDM 2009»
    Finding Links and Initiators: A Graph-Reconstruction Problem.
    14 years 8 months ago
    Finding Links and Initiators: A Graph-Reconstruction Problem.
    Download  www.siam.org
    Consider a 0–1 observation matrix M, where rows correspond to entities and columns correspond to signals; a value of 1 (or 0) in cell (i, j) of M indicates that signal j has bee...
    Evimaria Terzi, Heikki Mannila
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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.
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    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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