Title :
Heuristic algorithm for attribute reduction in information concept lattice based on the close-degree
Author_Institution :
Math. & Comput. Sci. Sch., Zhanjiang Normal Univ., Zhanjiang, China
Abstract :
The concept lattice is an efficient tool of data analysis and knowledge processing. This paper first puts forward the close-degree of information concept lattice, define the significance of attribute and design a heuristic algorithm for attribute reduction on information concept lattice. Finally, a real example is used to demonstrate both its feasibility and effectiveness.
Keywords :
data analysis; data reduction; heuristic programming; knowledge engineering; attribute reduction; data analysis tool; heuristic algorithm; information concept lattice; knowledge processing; Algorithm design and analysis; Context; Data analysis; Heuristic algorithms; Knowledge engineering; Lattices; attribute reduction; close-degree; information concept lattice; information formal context;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5917030
