Fuzzy Classification of Time Series Data

Ravikumar, Penugonda and Devi, Susheela V (2013) Fuzzy Classification of Time Series Data. In: IEEE International Conference on Fuzzy Systems (FUZZ), JUL 07-10, 2013, Hyderabad, INDIA.

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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
Series.:	IEEE International Conference on Fuzzy Systems
Publisher:	IEEE
Additional Information:	copyright for this article belongs to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords:	Time Series; Classification; Fuzzy Membership
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	10 Jun 2014 05:22
Last Modified:	10 Jun 2014 05:22
URI:	http://eprints.iisc.ac.in/id/eprint/49204

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