DocumentCode
1978274
Title
Granulation of temporal data: a global view on time series
Author
Bargiela, Andrzej ; Pedrycz, Witold
Author_Institution
Sch. of Comput. & Math., Nottingham Trent Univ., UK
fYear
2003
fDate
24-26 July 2003
Firstpage
191
Lastpage
196
Abstract
In this paper we discuss the issue of granular representation of time series. The critical concern is the ability to capture the essential features of the time series in the abstract granular representation of it. The discussion uses a set-theoretical framework of fuzzy sets and employs the Fuzzy C-means algorithm for the evaluation of the information granules obtained in various ways.
Keywords
data models; fuzzy set theory; learning (artificial intelligence); pattern clustering; time series; fuzzy C-means algorithm; fuzzy sets; granular representation; information granule evaluation; set theoretical framework; temporal data granulation; time series; Data analysis; Equations; Fuzzy sets; Mathematics; Prototypes; Time domain analysis; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN
0-7803-7918-7
Type
conf
DOI
10.1109/NAFIPS.2003.1226780
Filename
1226780
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