文章基本信息

标题：CORE generation from phone calls data using rough set theory
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作者：Sanjiban Sekhar Roy ; Sarvesh S. S. Rawat
期刊名称：Annals. Computer Science Series
印刷版ISSN：1583-7165
电子版ISSN：2065-7471
出版年度：2012
卷号：10
期号：1
页码：29-32
出版社：Mirton Publishing House, Timisoara
摘要：During the year 1982, rough set theory was introduced by Z Pawlak in order to deal with uncertain data. Rough set theory relies only on the available data and attributes to analyze features as well as to generate classification rules without any additional information. Here we have used rough set theory to find out reduct and core of the call center data by reducing the superfluous information, and then provided an algorithm based upon the hidden pattern in data which will adequately increase the efficiency of the organization
关键词：Rough set; Uncertain data; Reduct and Core