ISSS608 2016-17 T3 Group8 Arules Project Proposal
A Visual Application for Better Business Decision Making
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Current Packages
There are two core packages used in our application, both of which are under the “arules” family.
arules:
“Arules” is the very foundation on which we built this application. “Arules” enables users to apply association rule mining algorithms on transaction data or any other data that meets certain requirement. It is quite powerful at manipulating and transforming data, pruning redundant rules, as well as filtering association rules generated. Users can filter the rules by customizing thresholds for support, confidence, and lift, as well as the antecedent and consequent, and sort the rules by support, lift and confident.
arulesviz:
“Arulesviz” is a R package that provides users various visualizations of association rules. Users can choose to visualize their association rules using scatter plot, matrix-based visualization, grouped matrix-based visualization, graph-based visualization, parallel coordinates plot, double-decker plot etc. The diversity of visualizations provided makes it the most popular R package for visualizing association rules. Yet one drawback of this package is that these visualizations are all static graphs, which lacks interactivity with users.
