Los Angeles, CA
March 31, 2009 to April 2, 2009
In this paper, a new method for time-series pattern finding is proposed. The time-series curve is modeled as sequence of straight lines by piecewise linear approximation and the correspondent Arctg (slopes) of the lines are obtained as samples. Classification accuracy of time-series pattern finding algorithm is improved by using Artificial Neural Network (ANN) and Hierarchical processing technology. After we analyze experiment result with way of comparing, it prove that classification accuracy of the new time-series pattern finding algorithm is improved.
Key word data mining, time-series patterns, Artificial Neural Network (ANN), Hierarchical processing, classification accuracy
Zhang Yu, "Research of Time Series Finding Algorithm Based on Artificial Neural Network", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 400-403, doi:10.1109/CSIE.2009.1017