Visualization representing method for time series data

A time series and data technology, applied in other database browsing/visualization, electronic digital data processing, other database retrieval and other directions, can solve the problems of original time series accuracy deviation, decline in data classification ability, loss of classification information, etc., to achieve visualization effect Good, concise and intuitive visualization effect, the effect of improving the efficiency of visualization work
CN106202353AInactive Publication Date: 2016-12-07ZHENGZHOU UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHENGZHOU UNIV
Publication Date
2016-12-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a visualization representing method for time series data. On the basis that time series feature representations of an SAX-based method are adopted as the visualization basis of time series data, the signifying character representations are converted into a Markov transfer matrix, then, a complex network is used for building time series graphic representations, and time series data visualization representations are obtained. The SAX-based discretization method is adopted for time series Markov matrix conversion for the first time, a corresponding Markov transfer matrix obtained after time series discretization is adopted, and time series statistical characteristics can be better extracted; compared with quantile discretization, SAX discretization can better extract time series statistical characteristics, under certain conditions, the complex network visualization result is frequently better than the quantile discretization result on a benchmark data set, the approximation accuracy is closer to that of original data distribution, and the visualization effect is better.
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Description

technical field

[0001] The invention relates to a visual representation method of time series data. Background technique

[0002] Time series data widely exists in the fields of scientific research, production process, and financial services. Especially in recent years, with the application and development of information technology, time series data has also shown an explosive growth trend. Massive data processing and application work increasing day by day. Time series data usually has high-dimensional characteristics, and due to the influence of environmental factors in the production process, it is easy to have certain noise. Therefore, research on such complex data to effectively mine and acquire information and knowledge has important value and significance for both scientific theoretical research and social production practice.

[0003] In a large number of problems related to time series data, people try to study the process of physical phenomena changing dynamically...

Claims

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