Trend analysis method and device of multi-source time sequence data

A time-series data and trend analysis technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of accurate trend analysis

Inactive Publication Date: 2017-02-08
北京协力筑成科技信息服务股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there is a lack of methods and devices that can accurately analyze the development trend of multi-source time series data in the prior art

Method used

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  • Trend analysis method and device of multi-source time sequence data
  • Trend analysis method and device of multi-source time sequence data
  • Trend analysis method and device of multi-source time sequence data

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] figure 1 It is a flow chart of a method for trend analysis of multi-source time series data provided by an embodiment of the present invention. Such as figure 1 As shown, a trend analysis method for multi-source time-series data, including multi-source time-series data acquisition and analysis step S101, data cleaning step S102, preprocessing step S103 for the characteristics of time-series data, step S104 for calculating comprehensive ex...

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Abstract

The invention puts forward a trend analysis method and device of multi-source time sequence data. The method comprises the following steps of: independently obtaining original data of different structures from different data sources, and parsing the original data of different structures into multiple pieces of time sequence data with a uniform structure; cleaning the multiple pieces of time sequence data with the uniform structure, and identifying the multiple pieces of time sequence data which describes the same object; utilizing the multiple pieces of time sequence data which describes the same object to carry out mutual checkout and supplementation; and calculating the explosive power of each point in time in multiple pieces of accurately-related time sequence data, obtaining the explosive power sequence of the multiple pieces of accurately-related time sequence data, carrying out weighted summation on the explosive power sequence of the multiple pieces of accurately-related time sequence data which describes the same object, and calculating the comprehensive explosive power sequence of the object. By use of the method, the own characteristics of the multi-source time sequence data are fully utilized, the multiple pieces of accurately-related time sequence data which describes the same object are adopted to carry out calculation and correction processing on the comprehensive explosive power sequence of the object to realize more accurate and visual trend analysis.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a method and device for trend analysis of multi-source time series data. Background technique [0002] In recent years, with the development of science and technology, more and more data with time and space as dimensions have emerged. For example, in biomedicine, genetic data is data with the dimension of space, and abnormal detection of genetic data can detect diseases; in terms of finance, the consumption records of cardholders are data with time as the dimension. The time-series data corresponding to consumption records can find abnormal cardholders; in terms of industry, the data of temperature sensors, pressure sensors, etc. are all data with time and space as the dimension. [0003] These time-series data contain a lot of information, so we hope to discover and utilize the information contained in the time-series data through data mining algorithms. The characteristics of time-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 秦臻崔岩沈雷
Owner 北京协力筑成科技信息服务股份有限公司
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