DocumentCode
401865
Title
The information granulation in discretization
Author
Wang, Li-hong ; Zhang, Shu-cui ; Fan, Hui ; Wu, Geng-feng
Author_Institution
Sch. of Comput. Sci. and Technol., Shanghai Univ., China
Volume
5
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
2620
Abstract
Discretization is a vehicle of abstraction that supports a conversion of clouds of numeric data into more tangible information granules, which can be represented as hyper-boxes in R". A partial ordering of all discretization schemes for a given information table is defined to describe the relative granularity. All discretized tables form a hierarchical structure, representing the information table under different granulation. The granule-based entropy is defined to measure the information change in discretization. With meet and join operations, the partially ordered set becomes a lattice named discretization lattice, which is a Boolean algebra.
Keywords
Boolean algebra; data mining; learning (artificial intelligence); rough set theory; Boolean algebra; discretization lattice; discretized tables; granule based entropy; hierarchical structure; hyper boxes; information granulation; numeric data conversion; partial ordering; partially ordered set; relative granularity; Boolean algebra; Clouds; Computer science; Data analysis; Data mining; Entropy; Information analysis; Lattices; Machine learning; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259971
Filename
1259971
Link To Document