Title:
TIME SERIES DATA TREND FEATURE EXTRACTION METHOD BASED ON DYNAMIC GRID DIVISION
Document Type and Number:
WIPO Patent Application WO/2022/151829
Kind Code:
A1
Abstract:
A time series data trend feature extraction method based on dynamic grid division, the method comprising the following steps: setting a target number N, dynamically dividing grids according to the density distribution of time series data, and respectively dividing the time and value of the time series data into m segments and n segments; traversing local data in each grid, and acquiring a priority queue of key feature points by using a linear segmentation distance calculation means; summarizing the priority queues of the key feature points extracted from the grids, so as to obtain a one-dimensional feature sub-sequence S1 of original data; according to the target number N, extracting data points from a time series at equal intervals to obtain a one-dimensional trend sub-sequence S2 of the original data; and integrating the feature sub-sequence S1 and the trend sub-sequence S2 to obtain a new sequence S for data mining. By means of the method, key feature points and trend information in time series data can be reserved by using a small number of data points, such that the efficiency and accuracy of subsequent data modeling and analysis are improved.
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Inventors:
YANG HAOJIE (CN)
YANG YU (CN)
SUN FENGCHENG (CN)
YANG YU (CN)
SUN FENGCHENG (CN)
Application Number:
PCT/CN2021/130798
Publication Date:
July 21, 2022
Filing Date:
November 16, 2021
Export Citation:
Assignee:
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD (CN)
International Classes:
G06F17/18
Foreign References:
| CN112765562A | 2021-05-07 | |||
| CN111143442A | 2020-05-12 | |||
| CN108804731A | 2018-11-13 | |||
| CN110489810A | 2019-11-22 | |||
| CN104820779A | 2015-08-05 | |||
| US20190026351A1 | 2019-01-24 | |||
| US20030009399A1 | 2003-01-09 | |||
| CN108804731A | 2018-11-13 |
Attorney, Agent or Firm:
HANGZHOU HANGCHENG PATENT ATTORNEY OFFICE CO., LTD. (CN)
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