| Título: | SEQUENTIAL MINING: PATTERNS AND ALGORITHMS ANALYSIS |
| Autores: |
Slimani, Thabet; Computer Science,
Taif University & LARODEC Lab Lazzez, Amor; Computer Science, Taif University |
| Fecha: | 2013-10-17 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: |
Sequentiel Pattern ; Data Mining; Pattern analysis. data mining |
| Descripción: | This paper presents and analysis the common existing sequential pattern mining algorithms. It presents a classifying study of sequential pattern-mining algorithms into five extensive classes. First, on the basis of Apriori-based algorithm, second on Bredth First Search-based startegy, third on Depth First Serach strategy, fourth on sequential closed-pattern algorithm and five on the basis of incremental pattern minin galgorithms. At the end, a comparative analysis is done on the basis of important key features supported by various algorithms. This study gives an enhancement in the understanding of the approaches of sequential pattern mining. |
| Idioma: | Inglés |
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