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    » On the Complexity of Mining Association Rules
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    KDD
    2004
    ACM
    148views Data Mining» more  KDD 2004»
    Interestingness of frequent itemsets using Bayesian networks as background knowledge
    14 years 9 months ago
    Interestingness of frequent itemsets using Bayesian networks as background knowledge
    Download  www.cs.umb.edu
    The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
    Szymon Jaroszewicz, Dan A. Simovici
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    BMCBI
    2007
    102views more  BMCBI 2007»
    Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
    13 years 8 months ago
    Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
    Download  www.biomedcentral.com
    Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
    Luis A. Diago, Persy Morell, Longendri Aguilera, E...
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    ITCC
    2000
    IEEE
    145views Information Technology» more  ITCC 2000»
    Towards Knowledge Discovery from WWW Log Data
    14 years 1 months ago
    Towards Knowledge Discovery from WWW Log Data
    Download  media.inhatc.ac.kr
    As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...
    Feng Tao, Fionn Murtagh
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    KDD
    2008
    ACM
    156views Data Mining» more  KDD 2008»
    Can complex network metrics predict the behavior of NBA teams?
    14 years 9 months ago
    Can complex network metrics predict the behavior of NBA teams?
    Download  www.cs.unc.edu
    The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
    Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 9 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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