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Fuzzy Decision Tree and Particle Swarm Optimization for Mining of Time Series Data
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 17 - Number 7 |
| Year of Publication: 2011 |
| Authors: Maya Nayak, Satyabrata Dash |
10.5120/2230-2845
|
Maya Nayak, Satyabrata Dash . Fuzzy Decision Tree and Particle Swarm Optimization for Mining of Time Series Data. International Journal of Computer Applications. 17, 7 ( March 2011), 35-41. DOI=10.5120/2230-2845
Abstract
This paper presents a new approach for power signal time series data mining using S-transform based K-means clustering technique and fuzzy decision tree. Initially the power signal time series disturbance data are pre-processed through an advanced signal processing tool such as S-transform and various statistical features are extracted, which are used as inputs to the K-means algorithm for disturbance event detection. Particle Swarm Optimization (PSO) technique is used to optimize cluster centers which can be inputs to a fuzzy decision tree for pattern classification of time varying database like the power signal data bases.
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