Ravikumar, Penugonda and Devi, Susheela V (2013) Fuzzy Classification of Time Series Data. [Conference Proceedings]
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Official URL: http://dx.doi.org/10.1109/FUZZ-IEEE.2013.6622571
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.
Item Type: | Conference Proceedings |
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Additional Information: | copyright for this article belongs to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA |
Uncontrolled Keywords: | Time Series; Classification; Fuzzy Membership |
Subjects: | Division of Electrical Sciences > Computer Science & Automation |
Depositing User: | ePrints ID for Latest Records |
Date Deposited: | 10 Jun 2014 05:22 |
Last Modified: | 10 Jun 2014 05:22 |
URI: | http://eprints.iisc.ac.in/id/eprint/49204 |