Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
New feature selection paradigm based on hyper-heuristic technique
Faculty
Science
Year:
2021
Type of Publication:
ZU Hosted
Pages:
Authors:
Rehab Aly Ibrahim Muhammed
Staff Zu Site
Abstract In Staff Site
Journal:
Applied Mathematical Modelling Elseveir
Volume:
Keywords :
, feature selection paradigm based , hyper-heuristic technique
Abstract:
Feature selection (FS) is a crucial step for effective data mining since it has largest effect on improving the performance of classifiers. This is achieved by removing the irrelevant features and using only the relevant features. Many metaheuristic approaches exist in the literature in attempt to address this problem. The performance of these approaches differ based on the settings of a number of factors including the use of chaotic maps, opposition- based learning (OBL) and the percentage of the population that OBL will be applied to, the metaheuristic (MH) algorithm adopted, the classifier utilized, and the threshold value used to convert real solutions to binary ones. However, it is not an easy task to identify the best settings for these different components in order to determine the relevant fea- tures for a specific dataset. Moreover, running extensive experiments to fine tune these settings for each and every dataset will consume considerable time. In order to mitigate this important issue, a hyper-heuristic based FS paradigm is proposed. In the proposed model, a two-stage approach is adopted to identify the best combination of these com- ponents. In the first stage, referred to as the training stage , the Differential Evolution (DE) algorithm is used as a controller for selecting the best combination of components to be used by the second stage. In the second stage, referred to as the testing stage , the received combination will be evaluated using a testing set. Empirical evaluation of the proposed framework is based on numerous experiments performed on the most popular 18 datasets from the UCI machine learning repository. Experimental results illustrates that the gener- ated generic configuration provides a better performance than eight other metaheuristic algorithms over all performance measures when applied to the UCI dataset. Moreover, The overall paradigm ranks at number one when compared against state-of-the-art algorithms. Finally, the generic configuration provides a very competitive performance for high dimen- sional datasets.
Author Related Publications
Rehab Aly Ibrahim Muhammed, "Image Denoising using K-SVD Algorithm based on Gabor Wavelet Dictionary", International Journal of Computer Applications, 2012
More
Rehab Aly Ibrahim Muhammed, "Cooperative Meta-heuristic Algorithms for Global Optimization Problems", Elseveir, 2021
More
Rehab Aly Ibrahim Muhammed, "Efficient artificial intelligence forecasting models for COVID-19outbreak in Russia and Brazil", Elseveir, 2021
More
Rehab Aly Ibrahim Muhammed, "Automatic clustering method to segment COVID-19 CT images", ٍٍSpringer, 2021
More
Rehab Aly Ibrahim Muhammed, "Fractional Calculus-Based Slime Mould Algorithm for Feature Selection Using Rough Set", IEEE, 2021
More
Department Related Publications
Rodyna Ahmed Mahmoud, "Proximity structures and grill", ijser, 2013
More
Heba Ibrahim Mustafa, "On rough approximations via ideal", Elsevier, 2013
More
Heba Ibrahim Mustafa, "Soft Generalized Closed Sets with Respect to an Ideal in Soft Topological Spaces", Natural science publishing USA, 2014
More
Heba Ibrahim Mustafa, "Hybridizing Rough Sets and Double Sets (An approach for increasing decision accuracy)", Acta Zhengzhou University Overseas, 2013
More
Alaa Hassan Attia Hassan, "On subordination results for certain new classes of analytic functions defined by using Salagean operator", Universiteti i Prishtines, Prishtine, Kosove, 2012
More
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف