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
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;
Conference_Titel :
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN :
0-7803-7918-7
DOI :
10.1109/NAFIPS.2003.1226780
