Time series data feature extraction method and device, equipment and storage medium

A time series and feature extraction technology, applied in the direction of pattern recognition, instrument, character and pattern recognition in the signal, can solve the problem of model performance impact, etc., to achieve the effect of improving performance

Pending Publication Date: 2021-01-01
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology

However, time series data, as a signal, may exhibit a variety of characteristics in different subdivision frequency bands. If

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  • Time series data feature extraction method and device, equipment and storage medium
  • Time series data feature extraction method and device, equipment and storage medium
  • Time series data feature extraction method and device, equipment and storage medium

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Embodiment Construction

[0032] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. Artificial intelligence technology is a comprehensive subject that involves a wide range of fields, including both hardware-level technology and software-level technology. Artificial intelligence basic technologies generally include tec...

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Abstract

The invention relates to a time series data feature extraction method and device, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the steps: acquiring a time domain signal corresponding to time series data of a user, wherein the time series data represents economic behavior data of the user; carrying out N-stage frequency domain decomposition on the time domain signal by using N stages of filter banks to obtain a plurality of time sequence sub-band signals of different frequency bands, wherein N is a positive integer greater than or equal to 1; and performing feature extraction on each time sequence sub-band signal to obtain target features of the time sequence data. According to the method, the performance of the time series data in different frequency bands can be obtained, and more features in the time series data can be extracted.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method, device, equipment and storage medium for feature extraction of time series data. Background technique [0002] With the development of artificial intelligence, artificial intelligence technology is more and more integrated into our life. According to different application fields, the technologies of artificial intelligence research are also different. At present, machine learning and computer vision have become popular artificial intelligence technology directions. Feature engineering in machine learning is the process of converting raw input data into features to better represent potential problems and help improve the accuracy of predictive models. Feature engineering has a great impact on the application of machine learning models. Generally speaking, data and features determine the upper limit of the performance of machine learning mod...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F2218/10G06F18/2135
Inventor 蒋乐怡刘洋
Owner TENCENT TECH (SHENZHEN) CO LTD
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