Abstract—This paper does some researches on rule mining according to the production of fluid industry, as its production process has the characteristics of complexity, strong correlation, nonlinear and uncertainty. Rough sets and concept lattice are two effective methods for data analysis and knowledge discovery in data mining. In this paper, according to CARCL (Construction Algorithm of Rough Concept Lattice), we combine the two methods’ advantages and propose a new method for the construction of Rough Lattice based on compressed matrix. The new method can solve the redundancy of construction process and obtain corresponding rules .
Index Terms—Compressed matrix, Fluid industry, Rough lattice, Rule mining.
Wei Kong is with College of Information Science and Engineering, University of Jinan, Jinan Shandong 250022, China (phone: 15169046905; e-mail: firstname.lastname@example.org).
Shouning Qu is with Information Network Center, University of Jinan, Jinan Shandong 250022, China (phone: 13605315933; e-mail: email@example.com ).
Yuhui Tian is with Industry Group of Shandong University, Jinan Shandong 250101, China.
Cite: Wei Kong, Shouning Qu and Yuhui Tian, "Research and Application of Rough Lattice Construction Based on Compressed Matrix," International Journal of Computer Theory and Engineering vol. 3, no. 2, pp. 316-319, 2011.