Generalized Net of the Process of Sequential Pattern Mining by Generalized Sequential Pattern Algorithm (GSP)

Bureva, V., Sotirova, E. and Chountas, P. 2014. Generalized Net of the Process of Sequential Pattern Mining by Generalized Sequential Pattern Algorithm (GSP). Filev, D., Jabłkowski, J., Kacprzyk, J., Krawczak, M., Popchev, I., Rutkowski, L., Sgurev, V., Sotirova, E., Szynkarczyk, P. and Zadrozny, S. (ed.) 7th IEEE International Conference Intelligent Systems IS’2014. Warsaw, Poland 24 - 26 Sep 2014 Springer. https://doi.org/10.1007/978-3-319-11310-4_72

TitleGeneralized Net of the Process of Sequential Pattern Mining by Generalized Sequential Pattern Algorithm (GSP)
AuthorsBureva, V., Sotirova, E. and Chountas, P.
EditorsFilev, D., Jabłkowski, J., Kacprzyk, J., Krawczak, M., Popchev, I., Rutkowski, L., Sgurev, V., Sotirova, E., Szynkarczyk, P. and Zadrozny, S.
TypeConference paper
Abstract

In the present paper is constructed a Generalized net model of a process of sequential pattern mining by a generalized sequential pattern algorithm. Sequence pattern mining is a technique used for predictive data mining. It is used for discovering of frequent sequences in the databases. A sequence is regarded as frequent when it occurs in the data above a previously user defined minimum support within the applied time constraints. The analysis is an extension of frequent pattern mining technique that extracts frequent itemsets. They can be used for the creation of association rules. GSP algorithm was realized with metrological observations from weather databases, infrared camera and smoke detector to determine the possibility of forest fire. The proposed Generated net model can be used to monitor the sequence pattern mining process depending on meteorological parameters.

Year2014
Conference7th IEEE International Conference Intelligent Systems IS’2014
PublisherSpringer
Publication dates
Published2015
JournalAdvances in Intelligent Systems and Computing
Journal citation323
ISSN2194-5357
Book titleIntelligent Systems'2014: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 2: Tools, Architectures, Systems, Applications
ISBN9783319113098
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-11310-4_72

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