Summarizing time series with probabilistic fuzzy quantifiers

Publication Type:

Conference Paper

Authors:

Félix Díaz; Alberto Bugarín

Source:

2nd International Workshop of the ERCIM Working Group on Computing & Statistics (2009)

URL:

http://www.dcs.bbk.ac.uk/ercim09/index.html

Keywords:

F.Díaz; A.Bugarín; linguistic summaries; semi-fuzzy quantifiers

Abstract:

In 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.