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Abnormal data detection method and device

A technology of abnormal data and detection method, applied in the computer field, can solve problems that affect the accuracy of clustering results, low detection accuracy of abnormal data, and not being a cluster center, etc.

Active Publication Date: 2019-08-02
NEW H3C SECURITY TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there may also be data objects with higher local density within this range, that is, the data objects may not be the real cluster centers
Since the selection of cluster centers directly affects the accuracy of clustering results, the accuracy of abnormal data detection is low

Method used

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  • Abnormal data detection method and device
  • Abnormal data detection method and device

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Embodiment Construction

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the 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.

[0049] The embodiment of the present application provides a method for detecting abnormal data, which can be applied to an operation and maintenance system, specifically, the method can be applied to an operation and maintenance server or a business server in the operation and maintenance system. In this embodiment of the application, the operation and maintenance server is taken as an example for introduction, and other situations are similar. figure 1 The architecture diagram of t...

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Abstract

The embodiment of the invention provides an abnormal data detection method and device, and relates to the technical field of computers. The method comprises the following steps: determining local density corresponding to each data object in a data object set by adopting a preset density clustering algorithm; for each data object in the data object set, if the local density corresponding to the data object is greater than a preset local density threshold value, and a data object with the local density greater than the local density of the data object does not exist in an area taking the data object as a center and a preset truncation distance as a radius, creating a cluster by taking the data object as a clustering center; for each created cluster, determining a core data object contained in the cluster, and updating the cluster according to the core data object contained in the cluster; and taking the data object which does not belong to any cluster as an abnormal data object. By adopting the method, the accuracy of abnormal index detection can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method and device for detecting abnormal data. Background technique [0002] At present, people usually determine the operating state of the equipment by monitoring the operating indicators of the equipment. Specifically, abnormal data may be determined in each operating index, and then possible problems in the equipment may be analyzed according to the abnormal data of each index. Among them, the operating indicators can include service indicators and equipment indicators. Service indicators refer to indicators that reflect the scale and quality of equipment, such as webpage response time, webpage visits, and number of connection errors. Equipment indicators refer to indicators that reflect equipment status. For example, central processing unit (English: Central Processing Unit, referred to as: CPU) usage rate, memory usage rate, disk input / output (English: Input / ...

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Application Information

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IPC IPC(8): G06F11/07G06F11/34G06F16/28
CPCG06F11/079G06F11/3452G06F16/285
Inventor 孙尚勇
Owner NEW H3C SECURITY TECH CO LTD
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