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SPaR-FTR: An Efficient Algorithm for Mining Sequential Patterns-Based Rules

  • José Kadir Febrer-HernándezEmail author
  • Raudel Hernández-León
  • José Hernández-Palancar
  • Claudia Feregrino-Uribe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9423)

Abstract

In this paper, we propose a novel algorithm for mining Sequential Patterns-based Rules, called SPaR-FTR. This algorithm introduces a new efficient strategy to generate the set of sequential rules based on the interesting rules of size three. The experimental results show that the SPaR-FTR algorithm has better performance than the main algorithms reported to discover frequent sequences, all they adapted to mine this kind of sequential rules.

Keywords

Data mining Sequential patterns Rule mining 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • José Kadir Febrer-Hernández
    • 1
    Email author
  • Raudel Hernández-León
    • 1
  • José Hernández-Palancar
    • 1
  • Claudia Feregrino-Uribe
    • 2
  1. 1.Centro de Aplicaciones de Tecnologías de Avanzada (CENATAV)PlayaCuba
  2. 2.Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE)PueblaMexico

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