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