COMPARING QUANTITATIVE ASSOCIATION RULE METHODS
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 , Fukuda [1996a] and Brin , thoroughly investigate their strengths and weaknesses and carry out several experiments.
School:University of Cincinnati
School Location:USA - Ohio
Source Type:Master's Thesis
Date of Publication:01/01/2004