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Operation and maintenance data feature selection method and device

A feature selection method and data operation and maintenance technology, applied in the field of data processing, can solve the problem that the cost of manual configuration cannot be ignored

Active Publication Date: 2021-06-29
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the experience of operation and maintenance personnel may not always be reliable, and the labor cost of all manual configuration cannot be ignored

Method used

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  • Operation and maintenance data feature selection method and device
  • Operation and maintenance data feature selection method and device
  • Operation and maintenance data feature selection method and device

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Embodiment Construction

[0052] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0053] The present invention selects a technical solution based on the supervised Logistic I-Relief algorithm, and makes several improvements to it, designs a combination of supervised learning and unsupervised learning, and can adapt to unbalanced data in the operation and maintenance environment Feature selection algorithm. There are two main improvements: the introduction of unsupervised cost expressions and the amplification of abnormal data.

[0054] The operation and maintenance data feature selection method and device acc...

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Abstract

The invention provides an operation and maintenance data feature selection method and device, and the method comprises the steps: obtaining an original data sample; preprocessing the original data sample to obtain a multi-dimensional data sample; calculating the multi-dimensional data sample through a preset algorithm, and when the calculated value of the cost expression is minimum, outputting the feature weight of each dimension of data; and screening out a target data set from the multi-dimensional data sample according to the feature weight of each dimension of data and a preset weight threshold. Therefore, a feature selection method capable of adapting to an actual operation and maintenance environment is provided, the method does not depend on experience of operation and maintenance personnel, a large amount of historical data and manual annotation, and does not depend on one algorithm to detect the self effect, so that the method can adapt to various downstream early warning algorithms or analysis algorithms, and combines the advantages of a supervised algorithm and an unsupervised algorithm; the method not only can learn the characteristics of historical faults and position the high-frequency abnormal dimensions, but also can effectively judge the dimensions without faults in history.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and device for selecting features of operation and maintenance data. Background technique [0002] Usually, operation and maintenance is the cornerstone of the modern Internet industry and the guarantee for the efficient and stable operation of Internet services. In operation and maintenance, many systems will generate complex data information, which can usually be described by multiple fixed fields and corresponding values. This type of data is called multidimensional data, and the fields in the data are the dimensions of multidimensional data. . [0003] In the actual production environment, multidimensional data is a kind of data that appears frequently in operation and maintenance, so the analysis of multidimensional data is also the top priority of operation and maintenance work. In order to make better use of multi-dimensional data, operation and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/907G06F16/9035G06N3/08
CPCG06F16/907G06F16/9035G06N3/08
Inventor 裴丹成逸然
Owner TSINGHUA UNIV
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