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    EUMAS
    2006
    244views Intelligent Agents» more  EUMAS 2006»
    A Customizable Multi-Agent System for Distributed Data Mining
    13 years 10 months ago
    A Customizable Multi-Agent System for Distributed Data Mining
    Download  sunsite.informatik.rwth-aachen.de
    We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
    Giancarlo Fortino, Giuseppe Di Fatta
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    ESANN
    2006
    202views Neural Networks» more  ESANN 2006»
    Data topology visualization for the Self-Organizing Map
    13 years 10 months ago
    Data topology visualization for the Self-Organizing Map
    Download  www.dice.ucl.ac.be
    The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
    Kadim Tasdemir, Erzsébet Merényi
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    HIS
    2004
    91views Information Technology» more  HIS 2004»
    Hybrid Learning Scheme for Data Mining Applications
    13 years 10 months ago
    Hybrid Learning Scheme for Data Mining Applications
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    Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
    T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
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    DMIN
    2006
    131views Data Mining» more  DMIN 2006»
    Use of Data Mining to Determine Cheating in Online Student Assessment
    13 years 10 months ago
    Use of Data Mining to Determine Cheating in Online Student Assessment
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    are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
    Alberto Ochoa, Amol Wagholikar
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    FIMI
    2004
    134views Data Mining» more  FIMI 2004»
    Reducing the Main Memory Consumptions of FPmax* and FPclose
    13 years 10 months ago
    Reducing the Main Memory Consumptions of FPmax* and FPclose
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    Jianfei Zhu, Gösta Grahne
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    FIMI
    2004
    239views Data Mining» more  FIMI 2004»
    LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
    13 years 10 months ago
    LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
    Download  sunsite.informatik.rwth-aachen.de
    : For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
    Takeaki Uno, Masashi Kiyomi, Hiroki Arimura
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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 10 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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    FIMI
    2004
    172views Data Mining» more  FIMI 2004»
    AIM2: Improved implementation of AIM
    13 years 10 months ago
    AIM2: Improved implementation of AIM
    Download  www.shporer.com
    We present AIM2-F, an improved implementation of AIM-F [4] algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the e...
    Sagi Shporer
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    FIMI
    2004
    268views Data Mining» more  FIMI 2004»
    Algorithmic Features of Eclat
    13 years 10 months ago
    Algorithmic Features of Eclat
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    Nowadays basic algorithms such as Apriori and Eclat often are conceived as mere textbook examples without much practical applicability: in practice more sophisticated algorithms w...
    Lars Schmidt-Thieme
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    FIMI
    2004
    155views Data Mining» more  FIMI 2004»
    nonordfp: An FP-growth variation without rebuilding the FP-tree
    13 years 10 months ago
    nonordfp: An FP-growth variation without rebuilding the FP-tree
    Download  www.ilab.sztaki.hu
    Balázs Rácz
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