DocumentCode
389296
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
Volume
2
fYear
2002
fDate
2002
Firstpage
915
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1174516
Filename
1174516
Link To Document