DocumentCode :
641055
Title :
Fuzzy classification of time series data
Author :
Ravikumar, Penugonda ; Devi, V. Susheela
Author_Institution :
Dept. of CSA, Indian Inst. of Sci., Bangalore, India
fYear :
2013
fDate :
7-10 July 2013
Firstpage :
1
Lastpage :
6
Abstract :
The problem of classification of time series data is an interesting problem in the field of data mining. Even though several algorithms have been proposed for the problem of time series classification we have developed an innovative algorithm which is computationally fast and accurate in several cases when compared with 1NN classifier. In our method we are calculating the fuzzy membership of each test pattern to be classified to each class. We have experimented with 6 benchmark datasets and compared our method with 1NN classifier.
Keywords :
data mining; fuzzy set theory; time series; 1NN classifier; benchmark datasets; data mining; fuzzy classification; fuzzy membership; innovative algorithm; one nearest neighbor classifier; time series data; Accuracy; Classification algorithms; Clustering algorithms; Data mining; Time series analysis; Training; Training data; Classification; Fuzzy Membership; Time Series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
ISSN :
1098-7584
Print_ISBN :
978-1-4799-0020-6
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2013.6622571
Filename :
6622571
Link To Document :
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