Research on Alarm System in Wireless Network Based on Mining Association Rules

Author

HE, Zhen ; Niu, Qinzhou ; Tang, Tao

Volume

1

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

598

Lastpage

601

Abstract

With the development of telecommunication network, its large scale and complex framework caused the relationship among mass alarms of network elements to become more and more complex. It is necessary to provide network administrator with an approach to implement alarm filtering and fault location. To meet this need, an improved FP-Growth algorithm is given with which a new model is proposed based on mining association rules. Then the paper focuses on the alarm filtering and fault location with the help of these rules. An experiment to check the model and this algorithm is introduced and analyzed at the end of the paper.

Keywords

alarm systems; data mining; fault location; radio networks; telecommunication computing; alarm filtering; alarm systems; association rule mining; complex framework; fault location; large scale framework; network administrator; telecommunication network; wireless network; Alarm systems; Association rules; Computer science; Data mining; Fault location; Filtering; Large-scale systems; Software engineering; Transaction databases; Wireless networks; FP-Growth algorithm; association-rule; data-mining; wireless network;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.278

Filename

4721820