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    KDD
    2009
    ACM
    150views Data Mining» more  KDD 2009»
    Information theoretic regularization for semi-supervised boosting
    15 years 12 days ago
    Information theoretic regularization for semi-supervised boosting
    Download  www.cs.wright.edu
    We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
    Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
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    KDD
    2009
    ACM
    227views Data Mining» more  KDD 2009»
    User grouping behavior in online forums
    15 years 12 days ago
    User grouping behavior in online forums
    Download  www-personal.umich.edu
    Online forums represent one type of social media that is particularly rich for studying human behavior in information seeking and diffusing. The way users join communities is a re...
    Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
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    KDD
    2009
    ACM
    168views Data Mining» more  KDD 2009»
    Sustainable operation and management of data center chillers using temporal data mining
    15 years 12 days ago
    Sustainable operation and management of data center chillers using temporal data mining
    Download  people.cs.vt.edu
    Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
    Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
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    KDD
    2009
    ACM
    202views Data Mining» more  KDD 2009»
    Correlated itemset mining in ROC space: a constraint programming approach
    15 years 12 days ago
    Correlated itemset mining in ROC space: a constraint programming approach
    Download  www.cs.kuleuven.be
    Correlated or discriminative pattern mining is concerned with finding the highest scoring patterns w.r.t. a correlation measure (such as information gain). By reinterpreting corre...
    Siegfried Nijssen, Tias Guns, Luc De Raedt
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    KDD
    2009
    ACM
    167views Data Mining» more  KDD 2009»
    SNARE: a link analytic system for graph labeling and risk detection
    15 years 12 days ago
    SNARE: a link analytic system for graph labeling and risk detection
    Download  www.cs.cmu.edu
    Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
    Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
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    KDD
    2009
    ACM
    179views Data Mining» more  KDD 2009»
    Connections between the lines: augmenting social networks with text
    15 years 12 days ago
    Connections between the lines: augmenting social networks with text
    Download  umiacs.umd.edu
    Jonathan Chang, Jordan L. Boyd-Graber, David M. Bl...
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    KDD
    2009
    ACM
    228views Data Mining» more  KDD 2009»
    A generalized Co-HITS algorithm and its application to bipartite graphs
    15 years 12 days ago
    A generalized Co-HITS algorithm and its application to bipartite graphs
    Download  appsrv.cse.cuhk.edu.hk
    Recently many data types arising from data mining and Web search applications can be modeled as bipartite graphs. Examples include queries and URLs in query logs, and authors and ...
    Hongbo Deng, Michael R. Lyu, Irwin King
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    KDD
    2009
    ACM
    269views Data Mining» more  KDD 2009»
    Extracting discriminative concepts for domain adaptation in text mining
    15 years 12 days ago
    Extracting discriminative concepts for domain adaptation in text mining
    Download  140.123.102.14
    One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
    Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
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    KDD
    2009
    ACM
    611views Data Mining» more  KDD 2009»
    Fast approximate spectral clustering
    15 years 12 days ago
    Fast approximate spectral clustering
    Download  www2.berkeley.intel-research.net
    Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
    Donghui Yan, Ling Huang, Michael I. Jordan
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    KDD
    2009
    ACM
    243views Data Mining» more  KDD 2009»
    Exploiting Wikipedia as external knowledge for document clustering
    15 years 12 days ago
    Exploiting Wikipedia as external knowledge for document clustering
    Download  www-ai.cs.uni-dortmund.de
    In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
    Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
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