سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۴

نویسنده(ها):

Sara Mostafavi – University of Zanjan
Ali Amiri –

چکیده:

A data stream is an ordered and continuous sequence of examples that can be examined only once. Data stream mining introduces new challenges compared to traditionalmining algorithms. Fuzzy c-means (FCM) is a method of clustering in which a data point can assign to more than onecluster at the same time. In this paper we extend FCM algorithm to clustering data streams. Our performance experiments over KDD-CUP’۹۹ data set show the efficiency ofthe algorithm