Title :
A fast algorithm of mining association rules in network management
Author :
Liu, Pei-qi ; Li, Zeng-Zhi ; Chen, Yu-Xi ; Zhao, Yin-Liang
Author_Institution :
Inst. of Comput. Archit. & Networks, Xi´´an Jiaotong Univ., China
Abstract :
This paper presents the present study and research of knowledge discovery in database, points out the shortcoming of the classical a priori algorithm. Our research proposes the AprioriNEW algorithm based on reducing database, and analyses and appraises this algorithm in progress. The algorithm has been applied to mine the trap information in the network management.
Keywords :
computer network management; data mining; database management systems; knowledge based systems; search problems; set theory; AprioriNEW algorithm; association rule; data mining; frequent item sets; knowledge discovery; network management; searching space reduction; transaction database; Association rules; Computer architecture; Computer network management; Data analysis; Data mining; Intelligent networks; Itemsets; Relational databases; Technology management; Transaction databases;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1174516
