arules.out

本程序是基于linux系统下c++代码

\BOOKMARK [1][-]{section.1}{Introduction}{}
\BOOKMARK [1][-]{section.2}{Data structure overview}{}
\BOOKMARK [2][-]{subsection.2.1}{Representing collections of itemsets}{section.2}
\BOOKMARK [2][-]{subsection.2.2}{Transaction data}{section.2}
\BOOKMARK [2][-]{subsection.2.3}{Associations: itemsets and sets of rules}{section.2}
\BOOKMARK [1][-]{section.3}{Mining algorithm interfaces}{}
\BOOKMARK [1][-]{section.4}{Auxiliary functions }{}
\BOOKMARK [2][-]{subsection.4.1}{Counting support for itemsets}{section.4}
\BOOKMARK [2][-]{subsection.4.2}{Rule induction}{section.4}
\BOOKMARK [2][-]{subsection.4.3}{Sampling from transactions}{section.4}
\BOOKMARK [2][-]{subsection.4.4}{Generating synthetic transaction data}{section.4}
\BOOKMARK [2][-]{subsection.4.5}{Sub-, super-, maximal and closed itemsets}{section.4}
\BOOKMARK [2][-]{subsection.4.6}{Additional measures of interestingness}{section.4}
\BOOKMARK [2][-]{subsection.4.7}{Distance based clustering transactions and associations}{section.4}
\BOOKMARK [1][-]{section.5}{Examples}{}
\BOOKMARK [2][-]{subsection.5.1}{Example 1: Analyzing and preparing a transaction data set }{section.5}
\BOOKMARK [2][-]{subsection.5.2}{Example 2: Preparing and mining a questionnaire data set}{section.5}
\BOOKMARK [2][-]{subsection.5.3}{Example 3: Extending arules with a new interest measure}{section.5}
\BOOKMARK [2][-]{subsection.5.4}{Example 4: Sampling}{section.5}
\BOOKMARK [1][-]{section.6}{Summary and outlook}{}