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.
The research reported in this paper was partially supported by the Andalusian Government (Junta de Andalucía) under project P07-TIC03175 and also by the Spanish Government (Science and Innovation Department) under project TIN2009-08296.
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Castillo-Ortega, R., Marín, N., Sánchez, D. (2010). Time Series Comparison Using Linguistic Fuzzy Techniques. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_34
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DOI: https://doi.org/10.1007/978-3-642-14049-5_34
Publisher Name: Springer, Berlin, Heidelberg
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