SubSect

Subtitle:an interactive itemset visualization

Itemsets and association rules are among the most simple and intuitive patterns that are being used to explore transaction datasets. However, they lack meaning without both context and domain knowledge. Typically a user has to sift through hundreds of these patterns before finding an interesting one, losing sight of the forest for the trees. We propose a novel itemset and association rule visualization that makes it possible to inspect, assess, and compare patterns at a glance. In a case study we demonstrate its ability to facilitate a user in deriving and presenting valuable insights from a real-world dataset, which can not only save time and effort, but also reduce errors introduced by misconceptions.

ISBN:978-3-030-65153-4

Publication year:2021

Keywords:P1 Proceeding

Accessibility:Closed