Applications of a Web Information Mining Model to Data Mining and Information Retrieval Tasks

Author(s):  
A.R. Pereira ◽  
R. Baeza-Yates
2014 ◽  
Vol 687-691 ◽  
pp. 1466-1469
Author(s):  
Zhen Chao Wang

In the process of massive student data mining using traditional method, special words and related characteristics were used as mining objects. The concealment and feature of deliberately camouflaged of information made it is difficult for mining model to form an effective cluster centers, which reduced the accuracy of information mining. Hence an optimized data mining method was proposed. According to the degree of generalization and fuzziness of the feature words of student, the threshold of mining information was set, which avoided the effects of redundant information, thus the efficiency of mining was improved. The experimental results showed that using the improved algorithm to perform information mining in massive student database could effectively improve mining efficiency.


2014 ◽  
Author(s):  
Binyang Li ◽  
Lanjun Zhou ◽  
Zhongyu Wei ◽  
Kam-fai Wong ◽  
Ruifeng Xu ◽  
...  

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