Summarizing time series with probabilistic fuzzy quantifiers

TítuloSummarizing time series with probabilistic fuzzy quantifiers
AutoresF. Diaz-Hermida, A. Bugarín
TipoComunicación para congreso
Fonte 2nd International Workshop of the ERCIM Working Group on Computing and Statistics, Limassol, Cyprus, 2009.
AbstractIn this work, we show that the probabilistic fuzzy quantification models fulfill a number of properties that make them appropriate for the summarization problem. We focus our investigation in the use of the FA model for data summarization. This model has a very solid theoretical behavior, since it is a (non-standard) Determiner Fuzzification Scheme. Based on the properties of the probabilistic models we propose a summarization algorithm based on linguistic and data mining criteria. Examples of use are provided in the domain of meteorology using daily temperature data sets, obtaining a plausible behavior of the summaries compatible with human expectations.
Palabras chavelinguistic summaries, semi-fuzzy quantifiers