Title :
Sequential Pattern Mining: Optimum Maximum Sequential Patterns and Consistent Sequential Patterns
Author :
Wang, Xilu ; Yao, Weili
Author_Institution :
China Geosci. Univ. (Beijing), Beijing
Abstract :
The concepts of optimal maximum sequential pattern and the consistent sequential pattern are introduced to describe the wholesome characteristics of the sequential pattern mining problems. And a mathematical model and two algorithms are constructed to determine the optimal maximum sequential patterns and the consistent ones. The methods efficiently decrease the influence of noisy data, and have less candidate patterns than apriori-like methods. And to be more important is that the obtained sequential patterns are consistent.
Keywords :
data mining; optimisation; consistent sequential patterns; data mining; genetic algorithm; optimum maximum sequential patterns; sequential pattern mining; Data mining; Data structures; Databases; Diseases; Educational institutions; Genetic algorithms; Geology; Mathematical model; Software engineering; Telecommunications; Data Mining; Genetic Algorithm; Optimization; Sequence Pattern;
Conference_Titel :
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
1-4244-1092-4
Electronic_ISBN :
1-4244-1092-4
DOI :
10.1109/ICITECHNOLOGY.2007.4290497