Multiview intelligent data analysis based on granular computing

Abstract

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.