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    AICCSA
    2008
    IEEE
    842views Hardware» more  AICCSA 2008»
    Intelligent heart disease prediction system using data mining techniques
    13 years 9 months ago
    Intelligent heart disease prediction system using data mining techniques
    Download  paper.ijcsns.org
    The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
    Sellappan Palaniappan, Rafiah Awang
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    AICCSA
    2006
    IEEE
    218views Hardware» more  AICCSA 2006»
    Performance Comparison of Pattern Discovery Methods on Web Log Data
    14 years 1 months ago
    Performance Comparison of Pattern Discovery Methods on Web Log Data
    Download  www.ceng.metu.edu.tr
    One of the popular trends in computer science has been development of intelligent web-based systems. Demand for such systems forces designers to make use of knowledge discovery te...
    Murat Ali Bayir, Ismail H. Toroslu, Ahmet Cosar
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    KDD
    2012
    ACM
    187views Data Mining» more  KDD 2012»
    Sampling minimal frequent boolean (DNF) patterns
    11 years 10 months ago
    Sampling minimal frequent boolean (DNF) patterns
    Download  www.cs.rpi.edu
    We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
    Geng Li, Mohammed J. Zaki
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    KDD
    1994
    ACM
    407views Data Mining» more  KDD 1994»
    Using Dynamic Time Warping to Find Patterns in Time Series
    13 years 11 months ago
    Using Dynamic Time Warping to Find Patterns in Time Series
    Download  www.aaai.org
    Donald J. Berndt, James Clifford
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    IDEAS
    2006
    IEEE
    98views Database» more  IDEAS 2006»
    PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
    14 years 1 months ago
    PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
    Download  www.tkl.iis.u-tokyo.ac.jp
    Sequential pattern mining is very important because it is the basis of many applications. Yet how to efficiently implement the mining is difficult due to the inherent characteri...
    Zhenglu Yang, Masaru Kitsuregawa, Yitong Wang
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