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    KDD
    2009
    ACM
    229views Data Mining» more  KDD 2009»
    An association analysis approach to biclustering
    14 years 5 months ago
    An association analysis approach to biclustering
    Download  www-users.cs.umn.edu
    The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
    Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...
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    KDD
    2009
    ACM
    211views Data Mining» more  KDD 2009»
    Address standardization with latent semantic association
    14 years 5 months ago
    Address standardization with latent semantic association
    Download  www-ai.cs.uni-dortmund.de
    Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
    Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
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    KDD
    2009
    ACM
    191views Data Mining» more  KDD 2009»
    BBM: bayesian browsing model from petabyte-scale data
    14 years 5 months ago
    BBM: bayesian browsing model from petabyte-scale data
    Download  research.microsoft.com
    Given a quarter of petabyte click log data, how can we estimate the relevance of each URL for a given query? In this paper, we propose the Bayesian Browsing Model (BBM), a new mod...
    Chao Liu 0001, Christos Faloutsos, Fan Guo
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    KDD
    2009
    ACM
    223views Data Mining» more  KDD 2009»
    Collaborative filtering with temporal dynamics
    14 years 5 months ago
    Collaborative filtering with temporal dynamics
    Download  research.yahoo.com
    Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
    Yehuda Koren
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    KDD
    2009
    ACM
    164views Data Mining» more  KDD 2009»
    Social influence analysis in large-scale networks
    14 years 5 months ago
    Social influence analysis in large-scale networks
    Download  keg.cs.tsinghua.edu.cn
    In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
    Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
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    KDD
    2009
    ACM
    173views Data Mining» more  KDD 2009»
    Constant-factor approximation algorithms for identifying dynamic communities
    14 years 5 months ago
    Constant-factor approximation algorithms for identifying dynamic communities
    Download  compbio.cs.uic.edu
    We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
    Chayant Tantipathananandh, Tanya Y. Berger-Wolf
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    KDD
    2009
    ACM
    158views Data Mining» more  KDD 2009»
    Regret-based online ranking for a growing digital library
    14 years 5 months ago
    Regret-based online ranking for a growing digital library
    Download  velblod.videolectures.net
    Erick Delage
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    KDD
    2009
    ACM
    152views Data Mining» more  KDD 2009»
    A multi-relational approach to spatial classification
    14 years 5 months ago
    A multi-relational approach to spatial classification
    Download  www.cs.sfu.ca
    Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
    Richard Frank, Martin Ester, Arno Knobbe
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    KDD
    2009
    ACM
    159views Data Mining» more  KDD 2009»
    Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
    14 years 5 months ago
    Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
    Download  www.public.asu.edu
    Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
    Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
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    KDD
    2009
    ACM
    158views Data Mining» more  KDD 2009»
    Feature shaping for linear SVM classifiers
    14 years 5 months ago
    Feature shaping for linear SVM classifiers
    Download  www.hpl.hp.com
    : ? Feature Shaping for Linear SVM Classifiers George Forman, Martin Scholz, Shyamsundar Rajaram HP Laboratories HPL-2009-31R1 text classification machine learning, feature weighti...
    George Forman, Martin Scholz, Shyamsundar Rajaram
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