Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"association mining"”.
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Mine the node association: Dig into the essence of graphs
… data, the essence of graphs large lies in node association, which represents unique, informative and important relation between nodes. Recently, mining the node association has attracted remarkable attentions in many high-impact domains, such as academic collaboration, e-commercial platform and …
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MODELING AND MINING ANTIMICROBIAL RESISTANCE IN HUMAN AND ANIMAL POPULATIONS
… considered. I present the first application of association rule mining, a machine learning methodology, to analyze multidrug resistance in chicken-associated Escherichia coli. Network analytics and the association rules demonstrated that E. coli from chicken carcasses and chicken meat had …
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Data mining with bilattices
Data mining has become a key research area in database after Agrawal and Sirkant introduced association rules in data mining and proposed Apriori for mining association. However, most of the works focuses on finding patterns on itemsets, especially associations between items. With the fast …
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Tree model guided (TMG) enumeration as the basis for mining frequent patterns from XML documents
Association mining consists of two important problems, namely frequent patterns discovery and rule construction. The former task is considered to be a more challenging problem to solve. Because of its importance and application in a number of data mining tasks, it has become the focus of many …
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Goldmine: An integration of data mining and static analysis for automatic generation of hardware assertions
… Our method involves a combination of data mining and static analysis of the Register Transfer Level (RTL) design. The RTL design is first simulated to generate data about the design’s dynamic behavior. The generated data is then mined for ""candidate assertions"" that are likely to be …