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Title:
LOG CLASSIFICATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/082780
Kind Code:
A1
Abstract:
The present invention discloses a log classification method and device, wherein the method comprises: determining the number of occurrences of each feature word in a log to be classified, determining the log classification to which the log to be classified belongs according to the number of occurrences of each feature word in the log to be classified and a classification model; the classification model is determined according to the conditional probability of each feature word in the sample log under each log classification; wherein, the conditional probability of each feature word under each log classification is determined according to a word frequency model and a frequency modulation model; the word frequency model comprises the number of occurrences of each feature word under each log classification, the frequency modulation model comprises an adjustment parameter of each feature word under each log classification, the adjustment parameter is used for adjusting the number of occurrences of the corresponding feature word under the corresponding log classification. The technical solution combines the machine learning algorithm with knowledge engineering, and overcomes the problem of unbalanced training data in a sample set, so that the model classification accuracy is improved.

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Inventors:
OU BAICHUAN (CN)
YOU JIA (CN)
YE JINZAN (CN)
LI ZEYU (CN)
WANG YAQI (CN)
ZHU ZIHAO (CN)
Application Number:
PCT/CN2020/115409
Publication Date:
May 06, 2021
Filing Date:
September 15, 2020
Export Citation:
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Assignee:
WEBANK CO LTD (CN)
International Classes:
G06F16/35
Foreign References:
CN110929028A2020-03-27
CN105893225A2016-08-24
CN103810264A2014-05-21
US20090234825A12009-09-17
CN105446495A2016-03-30
Attorney, Agent or Firm:
TDIP & PARTNERS (CN)
Download PDF:
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