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    KDD
    2005
    ACM
    124views Data Mining» more  KDD 2005»
    A multinomial clustering model for fast simulation of computer architecture designs
    14 years 9 months ago
    A multinomial clustering model for fast simulation of computer architecture designs
    Download  www.ece.neu.edu
    Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
    Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
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    KDD
    2005
    ACM
    118views Data Mining» more  KDD 2005»
    On the use of linear programming for unsupervised text classification
    14 years 9 months ago
    On the use of linear programming for unsupervised text classification
    Download  www.cs.cornell.edu
    We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
    Mark Sandler
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    KDD
    2005
    ACM
    177views Data Mining» more  KDD 2005»
    Query chains: learning to rank from implicit feedback
    14 years 9 months ago
    Query chains: learning to rank from implicit feedback
    Download  www.cs.cornell.edu
    This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
    Filip Radlinski, Thorsten Joachims
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    KDD
    2005
    ACM
    61views Data Mining» more  KDD 2005»
    Short term performance forecasting in enterprise systems
    14 years 9 months ago
    Short term performance forecasting in enterprise systems
    Download  www.hpl.hp.com
    Rob Powers, Moisés Goldszmidt, Ira Cohen
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    KDD
    2005
    ACM
    103views Data Mining» more  KDD 2005»
    Robust boosting and its relation to bagging
    14 years 9 months ago
    Robust boosting and its relation to bagging
    Download  www.research.ibm.com
    Several authors have suggested viewing boosting as a gradient descent search for a good fit in function space. At each iteration observations are re-weighted using the gradient of...
    Saharon Rosset
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    KDD
    2005
    ACM
    153views Data Mining» more  KDD 2005»
    Improving discriminative sequential learning with rare--but--important associations
    14 years 9 months ago
    Improving discriminative sequential learning with rare--but--important associations
    Download  www.jaist.ac.jp
    Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
    Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
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    KDD
    2005
    ACM
    91views Data Mining» more  KDD 2005»
    On mining cross-graph quasi-cliques
    14 years 9 months ago
    On mining cross-graph quasi-cliques
    Download  www.cs.sfu.ca
    Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
    Jian Pei, Daxin Jiang, Aidong Zhang
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    KDD
    2005
    ACM
    104views Data Mining» more  KDD 2005»
    A hit-miss model for duplicate detection in the WHO drug safety database
    14 years 9 months ago
    A hit-miss model for duplicate detection in the WHO drug safety database
    Download  www.comp.nus.edu.sg
    The WHO Collaborating Centre for International Drug Monitoring in Uppsala, Sweden, maintains and analyses the world's largest database of reports on suspected adverse drug re...
    Andrew Bate, G. Niklas Norén, Roland Orre
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    KDD
    2005
    ACM
    73views Data Mining» more  KDD 2005»
    Using relational knowledge discovery to prevent securities fraud
    14 years 9 months ago
    Using relational knowledge discovery to prevent securities fraud
    Download  www.cs.purdue.edu
    We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
    Özgür Simsek, David Jensen, Henry G. Gol...
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    KDD
    2005
    ACM
    127views Data Mining» more  KDD 2005»
    Detection of emerging space-time clusters
    14 years 9 months ago
    Detection of emerging space-time clusters
    Download  www.cs.cmu.edu
    We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
    Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
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