Multiview intelligent data analysis based on granular computing
Yaohua Chen, Yiyu Y. Yao · 2006
Multiview intelligent data analysis explores data from different perspectives to reveal various types of structures and knowledge embedded in the data. Granular computing provides a general methodology for problem solving and information processing. Its application to data analysis results in hierarchical knowledge structures. In this paper, the funda- mental issues of granulations and granular structures for data analysis are discussed based on modal-style data operators. The results provide a basis for establishing a framework of multiview intelligent data analysis.