DocumentCode :
536001
Title :
Study on knowledge discovery algorithms based on the bit granular matrix
Author :
XiaoPing, Li
Author_Institution :
Dept. of Libr., JiangXi Vocational Coll. of Finance & Econ., Jiujiang, China
Volume :
2
fYear :
2010
fDate :
9-10 Oct. 2010
Firstpage :
416
Lastpage :
418
Abstract :
Based on the definition of bit granular matrix, a matrix-based knowledge discovery algorithm is proposed and it can attribute reduction and attribute value reduction simplifies the mathematical operations directly, In the operation process, Reflect the extent of the knowledge understanding, provided a new research approach to study on knowledge representation, decomposition, synthesis, reduction, etc.
Keywords :
data mining; matrix algebra; rough set theory; attribute value reduction; bit granular matrix; knowledge decomposition; knowledge reduction; knowledge representation; knowledge synthesis; knowledge understanding; matrix-based knowledge discovery algorithm; Boolean functions; Data structures; Matrix decomposition; Silicon compounds; Rough set theory; bit granular matrix; knowledge discovery; knowledge reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Information Technology and Management Engineering (FITME), 2010 International Conference on
Conference_Location :
Changzhou
Print_ISBN :
978-1-4244-9087-5
Type :
conf
DOI :
10.1109/FITME.2010.5656222
Filename :
5656222
Link To Document :
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