Automatic pre-processing method for time series

A time series and preprocessing technology, applied in the field of big data, can solve the problems of automatic preprocessing process, complex preprocessing parameter adjustment, data mining time and space granularity selection, etc.

Active Publication Date: 2016-03-23
HUAZHONG UNIV OF SCI & TECH
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  • Description
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Problems solved by technology

[0008] In view of the above defects or improvement needs of the prior art, the present invention provides a time series automatic preprocessing method, the purpose of which is to solve the complex automatic preprocessing ...

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  • Automatic pre-processing method for time series
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  • Automatic pre-processing method for time series

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Embodiment Construction

[0071] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0072] The present invention mainly comprises four processes:

[0073] Data cleaning: Data cleaning is mainly to find and solve obvious errors such as missing data, data noise, field misalignment, and format errors, and remove overly sparse attributes to provide pure and error-free raw data for the next step of preprocessing.

[0074] Pattern extraction: pattern extraction is to apply statistic...

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Abstract

The invention discloses an automatic pre-processing method for time series. The method comprises the following steps: performing rank scanning on to-be-processed time series; extracting data pattern characteristics from the processed time series; performing pre-processing element combination establishment according different pattern characteristics and states obtained by processing; and performing evaluation on data quality of data cleaning according to the result of the preprocessing element combination. The technical problems of complicated automatic preprocessing process, influence on later-period data mining by the preprocessing parameter regulations and unpredictable prediction results caused by time-space granularity selections in the existing method can be solved by the automatic pre-processing method for the time series.

Description

technical field [0001] The invention belongs to the technical field of big data, and more specifically relates to a time series automatic preprocessing method. Background technique [0002] The development of information technology and the Internet has produced massive amounts of data, providing a basis for intelligent decision-making in various industries. Since the time series reflects the patterns, anomalies and trends of data changes over time, users can discover system anomalies, mine behavior patterns, and predict future states. The single time series itself is time-sensitive, the data format and value standard have great changes, and there are also missing, abnormal and inconsistent situations. Therefore, the preprocessing of time series data is extremely important. The existing time series preprocessing is basically done manually, and the workload in big data analysis and processing reaches or even exceeds 80%. In fact, with the development of the Internet, time-s...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/215G06F2216/03
Inventor 莫益军
Owner HUAZHONG UNIV OF SCI & TECH
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