Mining Sequence Data and Time Series Data

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC).

Abstract

Data mining, the extraction of hidden predictive information from large database. This paper focuses on mining the sequence data and time series data. Existing systems was applied to remove the noise, it often introduce lags in the filtered data. Such lags reduce the accuracy of predictions because the predictor must overcome the lags before it can predict into the future. Existing methods also have difficulty in handling noisy data and learning meaningful information from the data. In this paper it is proposed to avoid the lag using rule filter. This filter reduces the lag and perform the mining process effectively.

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Keywords

Data mining, Sequence Data, Time series Data. Mining sequence data and time series data