Image Classification and Retrieval with Mining Technologies

Author(s):  
Yu-Jin Zhang

Mining techniques can play an important role in automatic image classification and content-based retrieval. A novel method for image classification based on feature element through association rule mining is presented in this chapter. The effectiveness of this method comes from two sides. The visual meanings of images can be well captured by discrete feature elements. The associations between the description features and the image contents can be properly discovered with mining technology. Experiments with real images show that the new approach provides not only lower classification and retrieval error but also higher computation efficiency.

2013 ◽  
Vol 765-767 ◽  
pp. 282-285
Author(s):  
Zhi Guo Dai ◽  
Yang Yang Han

Study on the applications of association rule mining in traditional Chinese medicine (TCM) knowledge and experience is carried out in this paper. The association rules of disease symptoms and syndrome differentiation, syndrome differentiation and prescription, disease symptoms and prescription are mined by analyzing the cases of patients with chronic gastritis, and then the mined association rules are interpreted that provide the beneficial reference for data mining technology in TCM.


2015 ◽  
Vol 320 ◽  
pp. 107-125 ◽  
Author(s):  
Dang Nguyen ◽  
Loan T.T. Nguyen ◽  
Bay Vo ◽  
Tzung-Pei Hong

2012 ◽  
Vol 53 (3) ◽  
pp. 1-6 ◽  
Author(s):  
N. Hoque ◽  
B. Nath ◽  
D. K. Bhattacharyya

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