چکیده مقاله
Mining frequent patterns and extracting knowledge from them is a trending field of study for industrial and business use One of the main goals of mining frequent itemsets is to increase the accuracy of the extracted itemsets while maintaining the optimal speed and compatibility with different dataset sizes PrePost is an algorithm for mining frequent itemsets with the least number of candidates Although, improvements to PrePost do not respond well to large datasets and most of them do not have the optimal performance In this research, PrePost algorithm is integrated with cloud machine learning platforms to increase the accuracy of the algorithm by reducing the number of candidates It is expected to observe a major increase in performance and accuracy of the algorithm when applied to cloud machine learning engine
کلیدواژهها
نویسندگان
Yazdan Takbiri
Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran;
Amineh Amini
Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran;
شیوه ارجاع
Takbiri, Yazdan and Amini, Amineh,1398,Mining Frequent Itemsets Using PrePost Algorithm on Cloud Machine Learning Engines,3rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات سومین کنفرانس بین المللی محاسبات نرم29 آبان 1398 · رودسر