An Efficient Communication Network SDH Alarm Association Rule Mining Algorithm

Autor: Hui Sheng Gao, Ying Min Li
Rok vydání: 2014
Předmět:
Zdroj: Advanced Materials Research. :1870-1873
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.926-930.1870
Popis: WINEPI algorithm is kind of data mining technology that is widely used in alarm association rules mining. Based on the classic WINEPI algorithm, we apply event window instead of time window to improve the exploration result, meanwhile we use FP-Growth algorithm framework instead of Apriori algorithm framework , thus improving efficiency. Based on the alarm time attribute we find interesting alarm association rules further. Experiments show that compared with the classic WINEPI algorithm our improved approach have advantages in reducing the mining error rate and gaining more interesting alarm association rules.
Databáze: OpenAIRE