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    SDM
    2008
    SIAM
    140views Data Mining» more  SDM 2008»
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    13 years 6 months ago
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    Download  wwwiti.cs.uni-magdeburg.de
    Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
    Korinna Bade, Andreas Nürnberger
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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    13 years 6 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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    SDM
    2008
    SIAM
    117views Data Mining» more  SDM 2008»
    A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
    13 years 6 months ago
    A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
    Download  vk.cs.umn.edu
    With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
    Yijun Sun, Sinisa Todorovic, Steve Goodison
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    SDM
    2008
    SIAM
    135views Data Mining» more  SDM 2008»
    Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
    13 years 6 months ago
    Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
    Download  siam.org
    Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
    Shuguo Han, Wee Keong Ng
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    SDM
    2008
    SIAM
    164views Data Mining» more  SDM 2008»
    Randomizing Social Networks: a Spectrum Preserving Approach
    13 years 6 months ago
    Randomizing Social Networks: a Spectrum Preserving Approach
    Download  coitweb.uncc.edu
    Understanding the general properties of real social networks has gained much attention due to the proliferation of networked data. The nodes in the network are the individuals and...
    Xiaowei Ying, Xintao Wu
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    SDM
    2008
    SIAM
    120views Data Mining» more  SDM 2008»
    Spatial Scan Statistics for Graph Clustering
    13 years 6 months ago
    Spatial Scan Statistics for Graph Clustering
    Download  www.hpl.hp.com
    In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
    Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
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    SDM
    2008
    SIAM
    139views Data Mining» more  SDM 2008»
    Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
    13 years 6 months ago
    Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
    Download  www.comp.nus.edu.sg
    The rigid all-versus-all adjacency required by a maximal biclique for its two vertex sets is extremely vulnerable to missing data. In the past, several types of quasi-bicliques ha...
    Jinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong
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    SDM
    2008
    SIAM
    112views Data Mining» more  SDM 2008»
    A pattern mining approach toward discovering generalized sequence signatures
    13 years 6 months ago
    A pattern mining approach toward discovering generalized sequence signatures
    Download  making.csie.ndhu.edu.tw
    Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the...
    Dietmar H. Dorr, Anne Denton
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    SDM
    2008
    SIAM
    129views Data Mining» more  SDM 2008»
    Statistical Density Prediction in Traffic Networks
    13 years 6 months ago
    Statistical Density Prediction in Traffic Networks
    Download  www.dbs.informatik.uni-muenchen.de
    Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
    Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
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    SDM
    2008
    SIAM
    206views Data Mining» more  SDM 2008»
    Latent Variable Mining with Its Applications to Anomalous Behavior Detection
    13 years 6 months ago
    Latent Variable Mining with Its Applications to Anomalous Behavior Detection
    Download  www.ibis.t.u-tokyo.ac.jp
    In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
    Shunsuke Hirose, Kenji Yamanishi
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