Data Mining Based on the Rough Analysis and the Application in the Telecommunication Network Quality Evaluation
Abstract: The precision of the
classification rule is decided by the construction of the classification algorithm.
In this paper, after the introducing of the concepts and the
attribute-reduction algorithms of the basic rough set, a data-mining algorithm
based on the rough impend approximation measurement is demonstrated. At first,
the finding theory of the classification rule is introduced. After that,
according to the importance-measurement of the conditional attributes in the
decision table, one kind of new attributes reduction method in the field of
data mining, which is based on the improved rough impend approximation measurement,
is explained. Lastly, the method is applied in the telecommunication network
quality evaluation, and the rationality and feasibility of algorithm are
examined in this example.
Keywords: data mining, rough
set, classification approximation, telecommunication network quality evaluation
Author: Yujuan Guan, Wenyu
Zhang
Journal Code: jptkomputergg160093
