Time sequence processing method and device, electronic equipment and computer readable medium
A time series, sequence technology, applied in the field of data processing, can solve the problem of low accuracy of time series
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Embodiment 1
[0032] According to an embodiment of the present invention, an embodiment of a time-series processing method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0033] figure 1 is a flowchart of a time series processing method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0034]Step S102, acquiring a target time series, wherein the target time series is a behavior data series generated when a game player operates a game.
[0035] It can be seen from the above description that the target time series may be a behavior data sequence generated by a certain game player when operating a certain ...
Embodiment 2
[0107] image 3 is a flowchart of another time series processing method according to an embodiment of the present invention, such as image 3 As shown, the method is described as follows:
[0108] (1) Obtain time series.
[0109] (2), SFA is converted into a string set; after the time series is obtained, the time series is divided into small time series sub-target time series according to the window length and sliding step of the preset sliding window, and then converted using SFA The method transforms each sub-objective time series with a sliding window length. A time series will be converted into a set of SFA characters.
[0110] (3) Determine the target classification vector of the time series.
[0111] Obtain a training data set, convert each training time series in the training data set into a string set, and obtain at least one training string set. Summarizing the strings in at least one training string set to statistically generate a string dictionary; and performing...
Embodiment 3
[0120] The embodiment of the present invention also provides a time series processing device, the time series processing device is mainly used to execute the time series processing method provided in the above content of the embodiment of the present invention, the following describes the time series provided by the embodiment of the present invention The processing device is described in detail.
[0121] Figure 8 is a schematic diagram of a time series processing device according to an embodiment of the present invention, such as Figure 8 As shown, the time series processing device mainly includes:
[0122] An acquisition unit 10, configured to acquire a target time series, wherein the target time series is a behavioral data sequence generated when the game player operates the game;
[0123] A segmentation unit 20, configured to segment the target time series into multiple sub-target time series;
[0124] A conversion unit 30, configured to generate a plurality of charac...
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