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A Novel Approach For Mining Emerging Patterns In Rare-Class Datasets

  • Hamad Alhammady

Abstract

Mining emerging patterns (EPs) in rare-class databases is one of the new and difficult problems in knowledge discovery in databases (KDD). The main challenge in this task is the limited number of rare-class instances. This scarcity limits the number of emerging patterns that can be mined for the rare class. In this paper, we propose a novel approach for mining emerging patterns in rare-class datasets. We experimentally prove that our method is capable of gaining enough knowledge from the rare class; hence, it increases the performance of EP-based classifiers.

Keywords

Class Label Major Class Edible Mushroom High Predictive Power Emerge Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer 2007

Authors and Affiliations

  • Hamad Alhammady
    • 1
  1. 1.Etisalat University CollegeUAE

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