Compression algorithm selection method, device and equipment
A compression algorithm and algorithm library technology, applied in computing, special data processing applications, instruments, etc., can solve the problems of uneven levels of manual experience, unreliable selection results, high labor costs, etc., to achieve reduced labor costs, high reliability, good compression effect
Active Publication Date: 2019-10-15
TENCENT TECH (SHENZHEN) CO LTD
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[0004]
At present, before compressing time series data, the optimal compression algorithm is usually selected manually based on personal experience for time series data in a specific mode. For time series data, if the existing manual selection method is used to process time series data, not only the labor cost is high and the efficiency is low, but also the selection results are not reliable due to the uneven levels of manual experience
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[0035] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0036] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such th...
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The embodiment of the invention discloses a compression algorithm selection method and device and related equipment. The method comprises the following steps: firstly, obtaining at least one piece oftime series data belonging to the same mode; compressing the acquired time series data by using a compression algorithm in a compression algorithm library; and according to a compression processing result, selecting a compression algorithm with the minimum compression error corresponding to each time series data from a compression algorithm library, and further determining an optimal compression algorithm adapted to the mode according to the compression algorithm with the minimum compression error corresponding to each time series data. According to the compression algorithm selection method provided by the embodiment of the invention, the optimal compression algorithm adaptive to the mode to which the time series data belongs is determined based on the real compression processing result,so that the determined optimal compression algorithm can be ensured to have a relatively good compression effect. The compression algorithm selection method does not need a manual debugging process, so that the labor cost is reduced, and the processing efficiency is improved.
Description
technical field [0001] The present application relates to the technical field of time series processing, and in particular to a compression algorithm selection method, device, equipment and computer storage medium. Background technique [0002] Time series data is a random variable sorted by time. It is usually the data obtained by observing a certain potential process in an equal interval of time according to a given sampling rate. Currently, time-series data is being generated at an unpredictable rate in almost every application domain in real life. [0003] Mining time series data in various fields to solve practical problems has become one of the research hotspots in the field of data mining. In the process of mining time series data, due to the large amount of data, high data dimension and data Due to the characteristics of continuous updating, it is very time-consuming to mine time series data directly. Therefore, in order to efficiently mine time series data, it is n...
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IPC IPC(8): G06F16/2458G06F16/20
CPCG06F2216/03G06F16/2474G06F16/2465
Inventor 巫晓杰钱波
Owner TENCENT TECH (SHENZHEN) CO LTD