loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Characteristic Relations in Generalized Incomplete Information System
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
x 
 
YunSong Qi, Lihua Wei, HuaiJiang Sun, YuQing Song, QuanSen Sun, "Characteristic Relations in Generalized Incomplete Information System," International Workshop on Knowledge Discovery and Data Mining, pp. 519-523, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
x
 
@article{ 10.1109/WKDD.2008.59,
author = {YunSong Qi and Lihua Wei and HuaiJiang Sun and YuQing Song and QuanSen Sun},
title = {Characteristic Relations in Generalized Incomplete Information System},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {519-523},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.59},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - Characteristic Relations in Generalized Incomplete Information System
SN - 0-7695-3090-7
SP519
EP523
A1 - YunSong Qi,
A1 - Lihua Wei,
A1 - HuaiJiang Sun,
A1 - YuQing Song,
A1 - QuanSen Sun,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
similarity relation consider `do not care' data as lost data, they were introduced to rough set to deal with incomplete information system. Incomplete information system in which `do not care' data coexists with lost data, this article studies characteristic relation and discusses the unreasonable state which may be brought forth by characteristic class. On one hand, the two objects which do not have the same known value on a certain character seemed to be indiscernible. On the other hand, the two objects which have a lot of equivalent known values are very likely to be distinguished. In order to solve the problems of the classification in generalized incomplete information system, new kinds of characteristic relations named as I and II are brought forth and characteristic relation III is also constructed on advantages of characteristic relation I and II, and at last the validity of the newly constructed characteristic relations is also demonstrated with examples. Keywords-Incomplete information system, Tolerance relation, Characteristic relation, Similarity relation, Limited tolerance relation. I.
Citation:
YunSong Qi, Lihua Wei, HuaiJiang Sun, YuQing Song, QuanSen Sun, "Characteristic Relations in Generalized Incomplete Information System," wkdd, pp.519-523, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
Usage of this product signifies your acceptance of the Terms of Use.