DocumentCode :
1957991
Title :
Application of data mining based on Rough Sets in the field of telecommunications
Author :
Li, Lei ; Shen, Fang-Cheng ; Yang, De-Zhang
Author_Institution :
Coll. of Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Volume :
6
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
538
Lastpage :
541
Abstract :
Nowadays, it is certain that we have to deal with massive data and abstract implicit regularity from massive data. In this paper, the reduction algorithm based on Rough Sets is proposed as a practical data mining technology and the procedure of telecommunication decision is analyzed. In the paper, the procedure of telecommunication based on data mining of Rough Sets is discussed. The factor set is established including condition attribute and decision attribute. The attribute reduction algorithm based on Rough Sets is used to eliminate the redundant risk factor and its value of decision table. It can be generalized to some useful rules and we can make proper decision from the rules to improve precision and explanatory ability in practice.
Keywords :
data mining; decision making; decision tables; rough set theory; telecommunication computing; attribute reduction algorithm; condition attribute; data mining; decision attribute; decision table; risk factor elimination; rough set; telecommunication decision; Telecommunication services; data mining; discernibility matrix; rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5565033
Filename :
5565033
Link To Document :
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