Comparing quantitative association rule methods [electronic resource] /

by Ren, Xiaohui.; Theses and, OhioLINK Electronic

Abstract (Summary)
Quantitative Association Rule mining is an important topic in data mining. In this thesis, I explain the fundamentals of association rules. Different algorithms of quantitative association rule mining are discussed and compared. I compared Aumann [1999], Fukuda [1996a] and Brin [1999], thoroughly investigate their strengths and weaknesses and carry out several experiments.
Bibliographical Information:


School:University of Cincinnati

School Location:USA - Ohio

Source Type:Master's Thesis



Date of Publication:

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