Title :
A method for discretization of continuous attributes in network performance measurement
Author :
Lirong Ma ; Xuefeng Li ; Zhuang Su
Author_Institution :
Inf. Manage. Centre of Flight Fundamental Training Base, Aviation Univ. of Air Force, Chang Chun, China
Abstract :
Network performance measurement is an important step to improve network performance. A new method for discretization of continuous attributes is put forward in this paper to overcome the limitation, which the parameters of network are almost continuous attributes.The method is based on an improved algorithm to produce candidate cut points and an algorithm of reduction based on variable precision rough information entropy. With the guarantee of consistency of decision system, the method can reduce the number of cut points, and improve efficiency of reduction. Experiments show that the algorithm yields satisfying reduction results.
Keywords :
computer network performance evaluation; entropy; rough set theory; candidate cut points; continuous attributes discretization; network performance measurement; reduction algorithm; variable precision rough information entropy; Area measurement; Artificial neural networks; Diabetes; Entropy; Genetic algorithms; Iris; Tin; discretization; network performance measurement; rough set;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845564