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Application of data mining based on Rough Sets in the field of telecommunications

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3 Author(s)
Lei Li ; Coll. of Sci., Nanjing Univ. of Posts & Telecommun., Nanjing, China ; Fang-Cheng Shen ; De-Zhang Yang

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.

Published in:

Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on  (Volume:6 )

Date of Conference:

9-11 July 2010