Comparing quantitative association rule methods [electronic resource] /

by Ren, Xiaohui.; Theses and, OhioLINK Electronic

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.