Time sequence index based on trends
A time series and trend technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as high data redundancy and low indexing efficiency
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[0012] The implementation is mainly composed of four parts. The first part realizes the conversion of uncertain time series into definite expected sequences. The second part realizes the interval segmentation and trend symbol mapping of expected sequences, which are combined into trend symbol sequences. The third part is the trend symbol sequence. The calculation process of the first-order connectivity index of five trend symbols, the fourth part is the B-Tree construction process based on the time series trend and the first-order connectivity index.
[0013] First part one:
[0014] A definite time series is represented as an ordered sequence of definite sampling values at each time point; the uncertainty of an uncertain time series is represented as a set of sample observations at each time point. The value of each time point is represented by a random variable, and the uncertain time series is considered as an ordered sequence of random variables with time characteristics...
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