Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search
المؤلفون المشاركون
Yang, Xin-She
Tang, Rui
Deb, Suash
Zhuang, Yan
Fong, Simon
المصدر
Journal of Applied Mathematics
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-11-28
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Selecting the right set of features from data of high dimensionality for inducing an accurate classification model is a tough computational challenge.
It is almost a NP-hard problem as the combinations of features escalate exponentially as the number of features increases.
Unfortunately in data mining, as well as other engineering applications and bioinformatics, some data are described by a long array of features.
Many feature subset selection algorithms have been proposed in the past, but not all of them are effective.
Since it takes seemingly forever to use brute force in exhaustively trying every possible combination of features, stochastic optimization may be a solution.
In this paper, we propose a new feature selection scheme called Swarm Search to find an optimal feature set by using metaheuristics.
The advantage of Swarm Search is its flexibility in integrating any classifier into its fitness function and plugging in any metaheuristic algorithm to facilitate heuristic search.
Simulation experiments are carried out by testing the Swarm Search over some high-dimensional datasets, with different classification algorithms and various metaheuristic algorithms.
The comparative experiment results show that Swarm Search is able to attain relatively low error rates in classification without shrinking the size of the feature subset to its minimum.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Fong, Simon& Zhuang, Yan& Tang, Rui& Yang, Xin-She& Deb, Suash. 2013. Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-483256
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Fong, Simon…[et al.]. Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search. Journal of Applied Mathematics No. 2013 (2013), pp.1-18.
https://search.emarefa.net/detail/BIM-483256
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Fong, Simon& Zhuang, Yan& Tang, Rui& Yang, Xin-She& Deb, Suash. Selecting Optimal Feature Set in High-Dimensional Data by Swarm Search. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-18.
https://search.emarefa.net/detail/BIM-483256
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-483256
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر