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    KDD
    2001
    ACM
    359views Data Mining» more  KDD 2001»
    Data mining techniques to improve forecast accuracy in airline business
    14 years 7 months ago
    Data mining techniques to improve forecast accuracy in airline business
    Download  elvis.slis.indiana.edu
    Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
    Christoph Hueglin, Francesco Vannotti
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    SDM
    2009
    SIAM
    184views Data Mining» more  SDM 2009»
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    14 years 4 months ago
    DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
    Download  www.siam.org
    Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
    Emmanuel Müller, Ira Assent, Ralph Krieger, S...
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    SAC
    2008
    ACM
    158views Applied Computing» more  SAC 2008»
    Tag-aware recommender systems by fusion of collaborative filtering algorithms
    13 years 6 months ago
    Tag-aware recommender systems by fusion of collaborative filtering algorithms
    Download  www.ismll.uni-hildesheim.de
    Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
    Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
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    BMCBI
    2006
    165views more  BMCBI 2006»
    Improved variance estimation of classification performance via reduction of bias caused by small sample size
    13 years 7 months ago
    Improved variance estimation of classification performance via reduction of bias caused by small sample size
    Download  www.biomedcentral.com
    Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
    Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
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    TSP
    2010
    148views Artificial Intelligence» more  TSP 2010»
    On entropy rate for the complex domain and its application to i.i.d. sampling
    13 years 1 months ago
    On entropy rate for the complex domain and its application to i.i.d. sampling
    Download  www.cs.umbc.edu
    We derive the entropy rate formula for a complex Gaussian random process by using a widely linear model. The resulting expression is general and applicable to both circular and non...
    Wei Xiong, Hualiang Li, Tülay Adali, Yi-Ou Li...
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