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    SDM
    2012
    SIAM
    304views Data Mining» more  SDM 2012»
    Fast Random Walk Graph Kernel
    11 years 8 months ago
    Fast Random Walk Graph Kernel
    Download  www.cs.cmu.edu
    Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
    U. Kang, Hanghang Tong, Jimeng Sun
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    SDM
    2012
    SIAM
    452views Data Mining» more  SDM 2012»
    Density-based Projected Clustering over High Dimensional Data Streams
    11 years 8 months ago
    Density-based Projected Clustering over High Dimensional Data Streams
    Download  siam.omnibooksonline.com
    Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
    Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
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    SDM
    2012
    SIAM
    278views Data Mining» more  SDM 2012»
    Legislative Prediction via Random Walks over a Heterogeneous Graph
    11 years 8 months ago
    Legislative Prediction via Random Walks over a Heterogeneous Graph
    Download  www.ee.columbia.edu
    In this article, we propose a random walk-based model to predict legislators’ votes on a set of bills. In particular, we first convert roll call data, i.e. the recorded votes a...
    Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
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    SDM
    2012
    SIAM
    289views Data Mining» more  SDM 2012»
    Mining Compressing Sequential Patterns
    11 years 8 months ago
    Mining Compressing Sequential Patterns
    Download  www.win.tue.nl
    Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
    Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin,...
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    SDM
    2012
    SIAM
    293views Data Mining» more  SDM 2012»
    RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
    11 years 8 months ago
    RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
    Download  siam.omnibooksonline.com
    One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
    Yoshitaka Kameya, Taisuke Sato
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    SDM
    2012
    SIAM
    322views Data Mining» more  SDM 2012»
    Adaptive Multi-task Sparse Learning with an Application to fMRI Study
    11 years 8 months ago
    Adaptive Multi-task Sparse Learning with an Application to fMRI Study
    Download  www.cs.cmu.edu
    In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
    Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
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    SDM
    2012
    SIAM
    297views Data Mining» more  SDM 2012»
    A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
    11 years 8 months ago
    A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
    Download  www.cs.ucsb.edu
    The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
    Adam Lugowski, David M. Alber, Aydin Buluç,...
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    SDM
    2012
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    340views Data Mining» more  SDM 2012»
    IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems
    11 years 8 months ago
    IntruMine: Mining Intruders in Untrustworthy Data of Cyber-physical Systems
    Download  www.cs.uiuc.edu
    A Cyber-Physical System (CPS) integrates physical (i.e., sensor) devices with cyber (i.e., informational) components to form a situation-aware system that responds intelligently t...
    Lu An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thom...
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    SDM
    2012
    SIAM
    294views Data Mining» more  SDM 2012»
    Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
    11 years 8 months ago
    Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
    Download  people.ee.duke.edu
    We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
    Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
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    SDM
    2012
    SIAM
    247views Data Mining» more  SDM 2012»
    Simplex Distributions for Embedding Data Matrices over Time
    11 years 8 months ago
    Simplex Distributions for Embedding Data Matrices over Time
    Download  www-kd.iai.uni-bonn.de
    Early stress recognition is of great relevance in precision plant protection. Pre-symptomatic water stress detection is of particular interest, ultimately helping to meet the chal...
    Kristian Kersting, Mirwaes Wahabzada, Christoph R&...
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