Research on the Time Series Classification Algorithm Based on Incremental Decision-Tree
Data mining technology has been attracting great interest in a vast array of research areas, and their types are more and more complex. The data is related and ordered set of real valued variables, and then such data with above characters is called time series. The following conclusion is that common method of data mining method can't be suit to time series data mining. And with the continuous development of the theory of big data, incremental method is essential in order to decrease temporal and space demand for implement of time series. Focuses on the research on time series classification according to time series features of high dimensionality, ordered real-valued vari-ables, auto-correlation and so on. And proposes incremental decision-tree algorithm for time series classification.
Time SeriesIncremental LearningDecision TreeAlgorithm Research
NETL
NSTL
万方数据
维普
