Enhancing big data feature selection using a hybrid correlation-based feature selection

Enhancing big data feature selection using a hybrid correlation-based feature selection

This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search (BFS), and dominance-based rough set approach (DRSA) methods. This study aims...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Electronics (Switzerland)
المؤلف الرئيسي: Mohamad M.; Selamat A.; Krejcar O.; Crespo R.G.; Herrera-Viedma E.; Fujita H.
التنسيق: مقال
اللغة:English
منشور في: MDPI 2021
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120159767&doi=10.3390%2felectronics10232984&partnerID=40&md5=f7043c22bd74f2e2b6993aab356ca26e

الانترنت

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120159767&doi=10.3390%2felectronics10232984&partnerID=40&md5=f7043c22bd74f2e2b6993aab356ca26e

مواد مشابهة