Sequential pattern mining algorithms review

Article type: Research Article

Authors: Febrer-Hernández, José Kadir^{; *} | Hernández-Palancar, José

Affiliations: Advanced Technologies Application Center, Siboney, Playa, Havana, Cuba

Correspondence: [*] Corresponding author: Advanced Technologies Application Center, 7a ♯21812, Siboney, Playa, CP: 12200, Havana, Cuba. E-mail: jfebrer@cenatav.co.cu

Abstract: 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.

Keywords: Data mining, sequence mining, frequent sequence, pattern growth

DOI: 10.3233/IDA-2012-0533

Journal: Intelligent Data Analysis, vol. 16, no. 3, pp. 451-466, 2012