Application of Rule Mining to Quantative Structure-Activity Relationship Using Rough Set Theory
نویسندگان
چکیده
منابع مشابه
Decision Rule Mining in Rough Set Theory
Rough se theory(RST) has two formats, abstract and table formats. In this article, abstract format is hardly touched. The table format, by definition, is a theory of extensional relational databases. However, their fundamental goals are very different. RST has focused on data analysis and mining, while database has focused on data processing. In RST, a relation, which is also known as informati...
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A central part of many algorithms for mining association rules in large data sets is a procedure that is to find so called frequent itemsets. The frequent itemsets are very large due to transactions data increasing. This paper proposes a new approach to find frequent itemsets employing rough set theory that can extract association rules for each homogenous cluster of transaction data records an...
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Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision making. Data mining is a discipline that has an important contribution to data analysis, discovery of new meaningful knowledge, and autonomous decision making. The rough set theory offers a viable approach for decision rule extraction from data.This paper, introduces the fundamental concepts of rou...
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ژورنال
عنوان ژورنال: Journal of Computer Aided Chemistry
سال: 2008
ISSN: 1345-8647
DOI: 10.2751/jcac.9.1