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    FIMI
    2004
    175views Data Mining» more  FIMI 2004»
    CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
    13 years 9 months ago
    CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
    Download  sunsite.informatik.rwth-aachen.de
    Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
    Yudho Giri Sucahyo, Raj P. Gopalan
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    FLAIRS
    2004
    162views Artificial Intelligence» more  FLAIRS 2004»
    Personalization Using Hybrid Data Mining Approaches in E-Business Applications
    13 years 9 months ago
    Personalization Using Hybrid Data Mining Approaches in E-Business Applications
    Download  www.aaai.org
    Effective personalization is greatly demanded in highly heterogeneous and diverse e-commerce domain. In our approach we rely on the idea that an effective personalization techniqu...
    Olena Parkhomenko, Yugyung Lee, Chintan Patel
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    FIMI
    2003
    210views Data Mining» more  FIMI 2003»
    COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
    13 years 9 months ago
    COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
    Download  sunsite.informatik.rwth-aachen.de
    Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
    Osmar R. Zaïane, Mohammad El-Hajj
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    SDM
    2003
    SIAM
    134views Data Mining» more  SDM 2003»
    Hierarchical Document Clustering using Frequent Itemsets
    13 years 9 months ago
    Hierarchical Document Clustering using Frequent Itemsets
    Download  www.cs.sfu.ca
    A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
    Benjamin C. M. Fung, Ke Wang, Martin Ester
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    CE
    2008
    160views more  CE 2008»
    Data mining in course management systems: Moodle case study and tutorial
    13 years 7 months ago
    Data mining in course management systems: Moodle case study and tutorial
    Download  sci2s.ugr.es
    Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
    Cristóbal Romero, Sebastián Ventura,...
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