Mobile user exit feature selection method based on Fisher score and approximate Markov blanket

A feature selection method and mobile user technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as poor classification performance, easy over-fitting, and high computational overhead

Active Publication Date: 2020-06-26
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] Mobile data generally contains high-dimensional features and is non-linear data. When the number of samples is limited, if a large number of features are used to design a classifier, the computational overh

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  • Mobile user exit feature selection method based on Fisher score and approximate Markov blanket
  • Mobile user exit feature selection method based on Fisher score and approximate Markov blanket
  • Mobile user exit feature selection method based on Fisher score and approximate Markov blanket

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Embodiment Construction

[0077] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0078] see Figure 1 ~ Figure 2 , is the preferred a kind of mobile user outbound feature selection algorithm based on Fisher points and approximate Markov-B...

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Abstract

The invention relates to a mobile user exit feature selection method based on an Fisher score and an approximate Markov blanket, and belongs to the field of data mining. Firstly, a Fisher criterion isutilized to reserve features with high classification capability, and irrelevant features and weak relevant features are eliminated; secondly, two measurement methods of a maximum information coefficient MIC and a symmetric uncertainty SU are fused, a correlation measurement standard MSCC is designed, and the MSCC standard is used for further removing irrelevant features; and finally, in combination with an MSCC measurement standard, redundant features in the Fisher candidate feature set are eliminated by utilizing an approximate Markov-Blanket judgment condition, and finally, an optimal feature subset with a relatively small dimension scale is obtained. According to the method, the exit features of the mobile users can be effectively selected, and the classification accuracy of the modelis improved.

Description

technical field [0001] The invention belongs to the technical field of data mining, and relates to a method for selecting a mobile user's outbound feature based on a Fisher score and an approximate Markov blanket. Background technique [0002] With the advent of the mobile Internet era, the number of mobile Internet users continues to increase, and people's life and work styles are quite different from before. The high penetration rate of mobile devices has brought about explosive growth in mobile data. Mobile data has the advantages of comprehensive data sampling and good real-time performance. It is quite authoritative in the field of trend analysis and potential user mining, and provides good convenient conditions for industry user mining. [0003] Feature selection is a key data preprocessing step in machine learning and data mining. It is the process of screening the most effective features from the original features to reduce the feature dimension of the data set, and ...

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Application Information

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IPC IPC(8): G06F16/2458G06K9/62
CPCG06F16/2465G06F18/214G06F18/24
Inventor 许国良张轩王超李万林雒江涛易燕
Owner CHONGQING UNIV OF POSTS & TELECOMM
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