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Intelligent water drops algorithm for rough set feature selection

Alijla, Basem O; Peng, Lim Chee; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi (Springer, Berlin, Heidelberg, 2013)
In this article; Intelligent Water Drops (IWD) algorithm is adapted for feature selection with Rough Set (RS). Specifically, IWD is used to search for a subset of features based on RS dependency as an evaluation function. ...
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Fuzzy rough set approach for selecting the most significant texture features in mammogram images

Alijla, Basem O; Khader, Ahamad Tajudin; Peng, Lim Chee; Al-Betar, Mohammed Azmi; Pei, Wong LI (IEEE, 2013)
Breast cancer is one of the most deadly related diseases in women across the world. The survival rate among the patients with the breast cancer will increase, if the disease is detected earlier. Mammogram analysis is one ...

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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AuthorAl-Betar, Mohammed Azmi (2)
Alijla, Basem O (2)
Khader, Ahamad Tajudin (2)Peng, Lim Chee (2)Pei, Wong LI (1)Subjectfeature selection (fs) (1)intelligent water drops (iwd) (1)rough set (rs) (1)... View MoreDate Issued
2013 (2)

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback