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    SDM
    2009
    SIAM
    149views Data Mining» more  SDM 2009»
    Near-optimal Supervised Feature Selection among Frequent Subgraphs.
    14 years 1 months ago
    Near-optimal Supervised Feature Selection among Frequent Subgraphs.
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    Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
    Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
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    SDM
    2009
    SIAM
    173views Data Mining» more  SDM 2009»
    Discretized Spatio-Temporal Scan Window.
    14 years 1 months ago
    Discretized Spatio-Temporal Scan Window.
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    The focus of this paper is the discovery of anomalous spatio-temporal windows. We propose a Discretized SpatioTemporal Scan Window approach to address the question of how we can t...
    Aryya Gangopadhyay, Seyed H. Mohammadi, Vandana Pu...
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    SDM
    2009
    SIAM
    138views Data Mining» more  SDM 2009»
    ShatterPlots: Fast Tools for Mining Large Graphs.
    14 years 1 months ago
    ShatterPlots: Fast Tools for Mining Large Graphs.
    Download  www.siam.org
    Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
    Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
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    SDM
    2009
    SIAM
    123views Data Mining» more  SDM 2009»
    Measuring Discrimination in Socially-Sensitive Decision Records.
    14 years 1 months ago
    Measuring Discrimination in Socially-Sensitive Decision Records.
    Download  www.di.unipi.it
    Discrimination in social sense (e.g., against minorities and disadvantaged groups) is the subject of many laws worldwide, and it has been extensively studied in the social and eco...
    Dino Pedreschi, Franco Turini, Salvatore Ruggieri
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    SDM
    2009
    SIAM
    162views Data Mining» more  SDM 2009»
    Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
    14 years 1 months ago
    Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
    Download  www.siam.org
    We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
    Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
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    SDM
    2009
    SIAM
    180views Data Mining» more  SDM 2009»
    Hierarchical Linear Discriminant Analysis for Beamforming.
    14 years 1 months ago
    Hierarchical Linear Discriminant Analysis for Beamforming.
    Download  www.siam.org
    This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
    Barry L. Drake, Haesun Park, Jaegul Choo
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    SDM
    2009
    SIAM
    152views Data Mining» more  SDM 2009»
    Non-negative Matrix Factorization, Convexity and Isometry.
    14 years 1 months ago
    Non-negative Matrix Factorization, Convexity and Isometry.
    Download  www.siam.org
    In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
    Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
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    SDM
    2009
    SIAM
    223views Data Mining» more  SDM 2009»
    Context Aware Trace Clustering: Towards Improving Process Mining Results.
    14 years 1 months ago
    Context Aware Trace Clustering: Towards Improving Process Mining Results.
    Download  www.siam.org
    Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
    R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
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    SDM
    2009
    SIAM
    154views Data Mining» more  SDM 2009»
    AMORI: A Metric-Based One Rule Inducer.
    14 years 1 months ago
    AMORI: A Metric-Based One Rule Inducer.
    Download  www.siam.org
    The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
    Niklas Lavesson, Paul Davidsson
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    SDM
    2009
    SIAM
    127views Data Mining» more  SDM 2009»
    Event Discovery in Time Series.
    14 years 1 months ago
    Event Discovery in Time Series.
    Download  www.siam.org
    The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...
    Carla E. Brodley, Dan Preston, Pavlos Protopapas
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