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2008

A multiview approach for intelligent data analysis based on data operators

9 years 9 months ago
A multiview approach for intelligent data analysis based on data operators
Multiview intelligent data analysis explores data from different perspectives to reveal various types of structures and knowledge embedded in the data. Each view may capture a specific aspect of the data and hence satisfy the needs of a particular group of users. Collectively, multiple views provide a comprehensive description and understanding of the data. In this paper, we propose a multiview framework of intelligent data analysis based on modal-style data operators. The classes of the data operators include basic set assignment, sufficiency, dual sufficiency, necessity and possibility operators. They demonstrate various types of data relationships and characterize various features and granulated views of the data. It is shown that different structures of the data can also be constructed based on the different data operators. Key words: Multiview, Intelligent Data Analysis, Modal-style Data Operators, Concept Lattice, Granular Computing.
Yaohua Chen, Yiyu Yao
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2008
Where ISCI
Authors Yaohua Chen, Yiyu Yao
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