Data drift discrimination method and device based on nearest neighbor method
A technology of data drift and discrimination method, applied in the field of concept drift, can solve complex and impractical problems, large amount of calculation and other problems, and achieve the effect of small calculation power consumption, increased stability, and simple and efficient method
Active Publication Date: 2020-12-15
SHANDONG INSPUR SCI RES INST CO LTD
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[0006] The embodiment of the present application provides a method and device for judging data drift based on the nearest neighbor method, which is used to solve the problems of large amount of calculation, complexity and impracticality in the existing judging method of data drift
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[0030] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. 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.
[0031] The technical solutions proposed in the embodiments of the present application will be described in detail below with reference to the accompanying drawings.
[0032] figure 1 The flow chart of the data drift discrimination method based on the nearest neighbor method provided by the embodiment of the present application, the method includes th...
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The invention discloses a data drift discrimination method and device based on a nearest neighbor method, and the method and the device are used for solving the problems that an existing algorithm forjudging data drift often needs to consume a large amount of computing power, is complex in scheme and is not easy to operate. The method comprises the steps that a server acquires a standard reference data set; the server acquires a test data set; the server judges the similarity between the to-be-tested data and the standard reference data set and the similarity between the to-be-tested data andthe test data set for each to-be-tested data in the test data set based on the nearest neighbor algorithm; and the server judges whether data drift occurs in the test data set or not according to thesimilarity judgment result of each piece of to-be-tested data in the test data set.
Description
technical field [0001] The present application relates to the field of concept drift, in particular to a method and device for judging data drift based on the nearest neighbor method. Background technique [0002] With the popularization and development of network applications, data in various industries is being continuously generated in the form of data streams, which are characterized by massive and rapid changes. For example, in the industrial field, sensors need to continuously collect new data; in the e-commerce field, merchants need to continuously obtain user behavior data. [0003] For the same object, the data collected at different times is called time series data, which can be used to describe the change of the object over time. However, in many fields, the data distribution may change unpredictably over time, leading to data drift, and data drift will prevent existing data models from being applied to new data. Therefore, in order to select an appropriate data...
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IPC IPC(8): G06K9/62G06F16/2458
CPCG06F16/2474G06F18/24147
Inventor 李锐金长新
Owner SHANDONG INSPUR SCI RES INST CO LTD