Data abnormal fluctuations detecting method and apparatus

A detection method and data anomaly technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of low accuracy, reduce the efficiency of locating the cause of abnormal data fluctuations, and difficult to locate, so as to improve the accuracy degree of effect

Inactive Publication Date: 2016-03-30
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0003] At present, the detection of abnormal fluctuations in data is usually performed by data analysts relying on experience to judge whether various indicators in the data fluctuate abnormally and analyze the causes of abnormal fluctuations, resulting in a long time for detecting abnormal fluctuations in data, low accuracy, and In the case of new abnormal data fluctuations, it is difficult for data analysts to quickly locate the causes of abnormal data fluctuations based on experience, which also reduces the efficiency of locating the causes of abnormal data fluctuations

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  • Data abnormal fluctuations detecting method and apparatus
  • Data abnormal fluctuations detecting method and apparatus

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Embodiment 1

[0023] figure 1 It is a flow chart of the method for detecting abnormal data fluctuations provided by Embodiment 1 of the present invention. The method of this embodiment can be executed by a device for detecting abnormal data fluctuations, which can be implemented by hardware and / or software. The device can Built into the server as part of it.

[0024] like figure 1 As shown, the abnormal data fluctuation detection method provided by the embodiment of the present invention specifically includes:

[0025] S101. Acquire data to be detected, where the data to be detected includes at least one index data.

[0026] The data to be detected in this embodiment may be various report data, for example, key performance indicator (KeyPerformance Indicators, KPI) data, various business data, and the like. Specifically, the data to be detected may be acquired from a database. The index data is the data generated by dividing the data representing different attributes in the data to be d...

Embodiment 2

[0037] figure 2 It is a flow chart of the method for detecting abnormal data fluctuations provided by the second embodiment of the present invention. On the basis of the above-mentioned embodiments, this embodiment preferably determines at least one of the at least one index data according to the preset data fluctuation detection method. The specific optimization of an abnormal fluctuation index data is as follows: obtaining the chain-month fluctuation amount and the year-on-year fluctuation amount of each index data in the at least one index data, the chain-link fluctuation amount is the range of change between today's value and yesterday's value of the index data, and the The year-on-year fluctuation is the change range between today’s value of the index data and the corresponding daily value of last week; according to the chain-month fluctuation and year-on-year fluctuation of each index data, as well as the chain-month setting range and year-on-year setting corresponding t...

Embodiment 3

[0064] Image 6 A schematic flow chart of the logic flow of abnormal data fluctuation detection provided by Embodiment 3 of the present invention is given. This embodiment is optimized on the basis of the foregoing embodiments, and a preferred embodiment is provided. Please refer to the foregoing embodiments for technical details not described in detail in this embodiment. like Image 6 As shown, the abnormal data fluctuation detection logic flow provided by this embodiment includes:

[0065] S601. Acquire data to be detected 61, where the data to be detected 61 includes at least one index data;

[0066] S602. Detect the at least one index data according to the preset data abnormal fluctuation detection method 62, and determine at least one abnormal fluctuation index data in the at least one index data;

[0067] S603. Based on the decision tree model 631 or hybrid online analysis and processing model 632 based on the abnormal fluctuation index data, a corresponding index ab...

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Abstract

The present invention discloses a data abnormal fluctuation detecting method and apparatus. The method comprises: obtaining to-be-detected data, wherein the to-be-detected data comprises at least one piece of index data; according to a data abnormal fluctuation detecting method, determining at least one piece of abnormal fluctuation index data in the at least one piece of index data; and carrying out analysis on the abnormal fluctuation index data respectively according to corresponding preset dimension information, and generating a corresponding abnormal fluctuation analysis result, the preset dimension information comprises dimensions of the abnormal fluctuation index data, and at least one dimension index data corresponding to each dimension. According to the technical scheme provided by embodiments of the present invention, technical problems in the prior art that abnormal fluctuation detection and analysis time is long, a cost is high and an accuracy rate is low due to a data analyst determining whether each index data in the to-be-detected data occurs abnormal fluctuation and analyzing causes of abnormal fluctuation are solved, and efficiency of abnormal fluctuation detection accuracy and abnormal fluctuation cause analysis is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data detection, and in particular, to a method and device for detecting abnormal data fluctuations. Background technique [0002] With the development of information technology, all walks of life will generate a large amount of data every day in the process of operation, such as some report data, which is of great research value for detecting whether these data have abnormal fluctuations and analyzing the reasons for abnormal fluctuations direction. [0003] At present, the detection of abnormal fluctuations in data is usually performed by data analysts relying on experience to judge whether various indicators in the data fluctuate abnormally and analyze the causes of abnormal fluctuations, resulting in a long time for detecting abnormal fluctuations in data, low accuracy, and In the case of new abnormal fluctuations in data, it is difficult for data analysts to quickly locate the c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 谭娟贾利斋张磊
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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