Title :
A new algorithm in network performance forecast based on FAC and episode rule
Author :
Ji Xi-lin ; Zhou, Zhi-Jie
Author_Institution :
Dept. of Telecommun. Eng., Nanjing Inst. of Commun. Eng., China
Abstract :
The performance forecast is a main aspect in network performance management. Aiming at multiple elements performance forecast, this paper proposes an algorithm based on fuzzy associative classifier (FAC) and enhanced frequent episode rule. Firstly, we present the framework of forecast system. Then introduce a new algorithm based on FAC and frequent episode rule. At last, combined with an instance, we recount the reasoning process in reasoning machine.
Keywords :
computer network management; pattern classification; FAC; enhanced frequent episode rule; forecast system framework; fuzzy associative classifier; network performance forecast; reasoning process; Artificial intelligence; Computer network management; Data mining; Electronic mail; Engineering management; Frequency; Intelligent networks; Intelligent sensors; Machine intelligence; Telecommunication network management;
Conference_Titel :
Communication Technology Proceedings, 2003. ICCT 2003. International Conference on
Print_ISBN :
7-5635-0686-1
DOI :
10.1109/ICCT.2003.1209836
