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Method for dynamically detecting junk mail

A spam and dynamic detection technology, applied to electrical components, digital transmission systems, instruments, etc., can solve the problems of ineffective elimination of outdated knowledge, historical data cannot be very effective in predicting future data, etc., to achieve flexible classification methods, Performance optimization and accurate classification results

Inactive Publication Date: 2011-04-13
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The above-mentioned method of using incremental support vector machine to classify emails can update knowledge to a certain extent, but because the characteristics of email data streams change with time, historical data cannot predict future data very effectively, and , and cannot effectively eliminate outdated knowledge

Method used

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  • Method for dynamically detecting junk mail
  • Method for dynamically detecting junk mail
  • Method for dynamically detecting junk mail

Examples

Experimental program
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Effect test

Embodiment

[0039] In this embodiment, a support vector machine is used to build a classifier. The condition for using a support vector machine to build a classifier is to first obtain the feature vector and the classification corresponding to the feature vector. If the above-mentioned feature vector and the classification corresponding to the feature vector are obtained, use the support vector machine The vector machine can establish the corresponding relationship between the feature vector and the classification. In the subsequent classification process, after obtaining the feature vector of the mail to be detected, the classifier outputs the classification of the mail to be detected according to the established correspondence between the feature vector and the classification. The above process It is an existing process, and the feature vector extraction of the mail can also use the existing technology, which will not be described in detail here.

[0040] Since several classifiers are us...

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Abstract

The invention discloses a junk mail dynamic detection method. The method comprises the following steps: step 102, mails to be detected are grouped and received in sequence, and a plurality of classifiers are constructed in sequence according to the classified information fed back by the user to the mails to be detected; step 102, the mails to be detected are classified by using the constructed classifiers; step 103, the classified information fed back by the user to the mails to be detected is obtained, and the classifiers constructed with longest time are deleted; step 104, new classifiers are constructed based on the characteristic vector of the mails to be detected in the step 102 and the classified information in the step 103; and step 105, the steps 103 and 104 are repeatedly performed. In the method, by using the unceasingly received mail data stream as the training samples of the newly added classifiers, the purpose that the classifiers are unceasingly changed along with the content of the mails and the interests of the users can be realized, simultaneously, the classifiers constructed with longest time are deleted, the obsolete knowledge is eliminated in time, and thereby the performance of the classifiers is optimized.

Description

Technical field [0001] The present invention involves the field of email processing technology, and specifically involves a dynamic detection method of spam. Background technique [0002] With the increasing popularity of the Internet, emails have become one of the most convenient means of daily communication and the most convenient means for everyone. Basically, they have replaced traditional paper letters. People are more and more dependent onIt is inseparable from it.However, the emergence of electronic spam caused increasingly serious problems and seriously threatened people's normal email communication.The expansion of spam not only wastes a lot of storage space and communication bandwidth, but also consumes a lot of user time to process and delete them.Therefore, research is very necessary for the detection and filtering method of this spam, which is of great significance. [0003] The detection process of spam is essentially a classification process of pattern recognition,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/58G06N1/00G06N99/00
Inventor 谭营阮光尘
Owner PEKING UNIV
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