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Details for article 9 of 10 found articles
| Title: |
Sequential pattern mining algorithms review |
| Author: |
Febrer-Hernández, José Kadir Hernández-Palancar, José |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 16 (2012) nr. 3 pages 451-466 |
| Year: |
2012-05-09 |
| Contents: |
From the beginning of sequential pattern mining to the present, this field has received important attention within the data mining area, because it has a wide application in several significant computational problems. Many algorithms have been created and several techniques have been used with the objective of improving the discovery of the frequent sequence set. In this paper we present the main characteristics of some of the most important sequential pattern mining algorithms. Also, we show a comparative performance study among these algorithms. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 9 of 10 found articles
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