Title :
A high efficient algorithm of mining sequential patterns
Author :
Feng, Q. In ; Xue-bing, Yang
Author_Institution :
Dept. of Comput. Sci., East-China Metall. Univ., Maanshan, China
Abstract :
Sequential pattern is a very important and useful pattern in time-related transaction databases and it is an important field in the knowledge discovery in database (KDD) research. To improve the efficiency of sequential pattern mining has been a key problem. This paper presents a novel and high efficient algorithm for mining sequential patterns by elaborately arranging the data structure
Keywords :
data mining; data structures; temporal databases; artificial intelligence; data structure; efficiency; knowledge discovery; sequential pattern mining; time domain databases; Artificial intelligence; Computer science; Data mining; Data structures; Transaction databases;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863251
