چکیده مقاله
Orange canvas is an open source data mining tool that is based on Python scripting, visual programming and scientific computing We developed analytical frameworks, which have advanced theoretical studies of practical learning methods, to address the class imbalance problem In a two class classification task, when the number of one class majority is greater than another minority , this class is called imbalanced The classification of this imbalanced class causes imbalanced distribution, poor predictive classification accuracy and a Class Imbalance Problem CIP We will focus on clarifying and writing a simple or clear Python script and visualize the frameworks of existing learning methods that address the CIP with well known Synthetic over sampling technique SMOTE based ensemble methods The introduced orange workflows, Python scripting, and experimental results, will assist researchers and students to address the CIP simply This study’s aim is to design innovative methods to address CIP
کلیدواژهها
نویسندگان
Seyyedali Fattahi
Data Mining and Optimization Research Group, Centre for Artificial Intelligence, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, 43600, Selangor, Malaysia
Zalinda Othman
Data Mining and Optimization Research Group, Centre for Artificial Intelligence, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, UKM Bangi, 43600, Selangor, Malaysia
شیوه ارجاع
Fattahi, Seyyedali and Othman, Zalinda,1395,A Python-based Data mining to Address Class Imbalance Problem,3rd National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس سراسری نوآوری های اخیر در مهندسی برق و کامپیوتر19 شهریور 1395 · تهران