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    SDM
    2009
    SIAM
    119views Data Mining» more  SDM 2009»
    Twin Vector Machines for Online Learning on a Budget.
    14 years 8 months ago
    Twin Vector Machines for Online Learning on a Budget.
    Download  www.siam.org
    This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
    Zhuang Wang, Slobodan Vucetic
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    SDM
    2009
    SIAM
    205views Data Mining» more  SDM 2009»
    Identifying Information-Rich Subspace Trends in High-Dimensional Data.
    14 years 8 months ago
    Identifying Information-Rich Subspace Trends in High-Dimensional Data.
    Download  www.siam.org
    Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
    Chandan K. Reddy, Snehal Pokharkar
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    SDM
    2009
    SIAM
    208views Data Mining» more  SDM 2009»
    A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
    14 years 8 months ago
    A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
    Download  www.nec-labs.com
    Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
    Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
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    SDM
    2009
    SIAM
    140views Data Mining» more  SDM 2009»
    Straightforward Feature Selection for Scalable Latent Semantic Indexing.
    14 years 8 months ago
    Straightforward Feature Selection for Scalable Latent Semantic Indexing.
    Download  www.siam.org
    Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
    Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
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    SDM
    2009
    SIAM
    164views Data Mining» more  SDM 2009»
    Exact Discovery of Time Series Motifs.
    14 years 8 months ago
    Exact Discovery of Time Series Motifs.
    Download  www.cs.ucr.edu
    Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computat...
    Abdullah Mueen, Eamonn J. Keogh, M. Brandon Westov...
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    SDM
    2009
    SIAM
    125views Data Mining» more  SDM 2009»
    Providing Privacy through Plausibly Deniable Search.
    14 years 8 months ago
    Providing Privacy through Plausibly Deniable Search.
    Download  www.siam.org
    Query-based web search is an integral part of many people’s daily activities. Most do not realize that their search history can be used to identify them (and their interests). I...
    Chris Clifton, Mummoorthy Murugesan
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    SDM
    2009
    SIAM
    191views Data Mining» more  SDM 2009»
    Adaptive Concept Drift Detection.
    14 years 8 months ago
    Adaptive Concept Drift Detection.
    Download  www.siam.org
    An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
    Anton Dries, Ulrich Rückert
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    SDM
    2009
    SIAM
    113views Data Mining» more  SDM 2009»
    Graph Generation with Prescribed Feature Constraints.
    14 years 8 months ago
    Graph Generation with Prescribed Feature Constraints.
    Download  www.sis.uncc.edu
    In this paper, we study the problem of how to generate synthetic graphs matching various properties of a real social network with two applications, privacy preserving social netwo...
    Xiaowei Ying, Xintao Wu
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    SDM
    2009
    SIAM
    170views Data Mining» more  SDM 2009»
    Optimal Distance Bounds on Time-Series Data.
    14 years 8 months ago
    Optimal Distance Bounds on Time-Series Data.
    Download  www.siam.org
    Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
    Michail Vlachos, Philip S. Yu, Suleyman S. Kozat
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    SDM
    2009
    SIAM
    172views Data Mining» more  SDM 2009»
    Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach.
    14 years 8 months ago
    Travel-Time Prediction Using Gaussian Process Regression: A Trajectory-Based Approach.
    Download  www.research.ibm.com
    This paper is concerned with the task of travel-time prediction for an arbitrary origin-destination pair on a map. Unlike most of the existing studies, which focus only on a parti...
    Sei Kato, Tsuyoshi Idé
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