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An Incremental Algorithm for Mining Default Definite Decision Rules from Incomplete Decision Tables
San Jose, California November 02-November 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.572007 IEEE International Conference on ...
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Chen Wu, Xiaohua Hu, Xiajiong Shen, Xiaodan Zhang, Yi Pan, "An Incremental Algorithm for Mining Default Definite Decision Rules from Incomplete Decision Tables," Granular Computing, IEEE International Conference on, pp. 175, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/GrC.2007.57,
author = {Chen Wu and Xiaohua Hu and Xiajiong Shen and Xiaodan Zhang and Yi Pan},
title = {An Incremental Algorithm for Mining Default Definite Decision Rules from Incomplete Decision Tables},
journal ={Granular Computing, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-3032-X},
pages = {175},
doi = {http://doi.ieeecomputersociety.org/10.1109/GrC.2007.57},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Granular Computing, IEEE International Conference on
TI - An Incremental Algorithm for Mining Default Definite Decision Rules from Incomplete Decision Tables
SN - 0-7695-3032-X
SP
EP
A1 - Chen Wu,
A1 - Xiaohua Hu,
A1 - Xiajiong Shen,
A1 - Xiaodan Zhang,
A1 - Yi Pan,
PY - 2007
VL - 0
JA - Granular Computing, IEEE International Conference on
ER -
 
The present paper puts forward an incremental algorithm for extracting default definite rules proposed by us from incomplete decision table using semi- equivalence classes derived from a semi-equivalence relation and their meet and join blocks on the universe. After default definite decision rules and constraint rules are acquired from the incomplete decision table, the incremental algorithm is used to modify them when new data is added to the incomplete information table. It does not need to process the original dataset repeatedly but only updates related data and rules. So it is effective in performing mining tasks from incomplete decision table. Through an example, a procedure for mining and revising rules is illustrated. Key words: rough set, incomplete decision table, semi-equivalence relation, default definite decision rule
Citation:
Chen Wu, Xiaohua Hu, Xiajiong Shen, Xiaodan Zhang, Yi Pan, "An Incremental Algorithm for Mining Default Definite Decision Rules from Incomplete Decision Tables," grc, pp.175, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
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