Time series comparison using linguistic fuzzy techniques

Authors:
Rita Castillo-Ortega;Nicolás Marín;Daniel Sánchez
Affiliations:
Intelligent Databases and Information Systems Research Group, Department of Computer Science and A.I., University of Granada, Granada, Spain;Intelligent Databases and Information Systems Research Group, Department of Computer Science and A.I., University of Granada, Granada, Spain;Intelligent Databases and Information Systems Research Group, Department of Computer Science and A.I., University of Granada, Granada, Spain
Venue:
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Year:
2010

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Abstract

In this paper, we face the problem of time series comparison which appears frequently in the Business Intelligence area. Specifically, we provide a linguistic summary of the difference between values of two time series defined on the same time domain. Several kind of summaries with alternative semantics can be obtained depending on the way the difference is calculated.