A NEW ALGORITHM OF SIMILARITY MINING IN TIME SERIES DATA

Similarity retrieval in time series data is an important task in data mining. In this paper, the similarity mining method for time series data is investigated. DFT is used to transform the time series data from time domain to frequency domain. The time series data can be mapped into the multidimensional points in multidimensional space. We proposed a distanced-based algorithm to mine the similar time sequences with given time sequence. The time series data of the power load of a steel plant are used for simulation. The simulation results show the effectiveness of the algorithm.