Title :
An Earthquake Sequential Pattern Mining Algorithm Based on General Constraint
Author :
Wu, Shaochun ; Fang, Minfu ; Li, Yinyin ; Zhang, Bofeng
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ. Shanghai, Shanghai
Abstract :
In recent years, time series data mining has already been an important branch of data mining. In this paper, an improved sequential pattern mining algorithm PBGC ( sequential pattern mining algorithm based on general constraint) is presented, in which seismic knowledge is used as general constraint to restrict the sequential patterns, and eventually enhances the suitability and the value of the result. Its application is to discover general earthquake sequence from earthquake catalogue data and to study the similarity of earthquake sequence.
Keywords :
data mining; earthquakes; geophysics computing; seismology; sequences; time series; earthquake sequential pattern mining algorithm; general constraint; seismic knowledge; time series data mining; Data mining; Earthquake engineering; History; Itemsets; Large-scale systems; Pattern matching; Seismology; Sequential analysis; Test pattern generators; Time factors; General Constraint; data mining; earthquake sequence; sequential pattern; time series;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.55
