An incremental rule extracting algorithm based on pawlak reduction

2005 ◽  
Author(s):  
Liu Yong ◽  
Xu Congfu ◽  
Pan Yunhe
Keyword(s):  
Rule Extracting

scholarly journals Efficient Detection of Large-Scale Multimedia Network Information Data Anomalies Based on the Rule-Extracting Matrix Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Jie Zhao
Keyword(s):  
Large Scale ◽  
False Positive Rate ◽  
Detection Accuracy ◽  
Network Information ◽  
Matrix Algorithm ◽  
Efficient Detection ◽  
Sample Data ◽  
Multimedia Social Networks ◽  
Positive Rate ◽  
Rule Extracting

With the continuous development of multimedia social networks, online public opinion information is becoming more and more popular. The rule extraction matrix algorithm can effectively improve the probability of information data to be tested. The network information data abnormality detection is realized through the probability calculation, and the prior probability is calculated, to realize the detection of abnormally high network data. Practical results show that the rule-extracting matrix algorithm can effectively control the false positive rate of sample data, the detection accuracy is improved, and it has efficient detection performance.

Approach of Rule Extracting Based on Attribute Significance and Decision Classification

2012 ◽  
Vol 7 (2) ◽  
Author(s):  
Yandong Zhai ◽  
Chunguang Zhou ◽  
Yingjuan Sun ◽  
Dongbing Pu ◽  
YingHui Sun
Keyword(s):  
Rule Extracting
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