Visualization support for the analysis of properties of interestingness measures

Bulletin of the Polish Academy of Sciences. Technical Sciences

R. SusmagaCorresponding authorInstitute of Computing Science, Pozna? Univesity of Technology, 2 Piotrowo St., 60-965 Pozna?, PolandEmailOther articles by this author:De Gruyter OnlineGoogle Scholar¹  I. Szcz?chInstitute of Computing Science, Pozna? Univesity of Technology, 2 Piotrowo St., 60-965 Pozna?, PolandOther articles by this author:De Gruyter OnlineGoogle Scholar¹ 

[1] Institute of Computing Science, Pozna? Univesity of Technology, 2 Piotrowo St., 60-965 Pozna?, Poland

关键词: Keywords : visualization;    interestingness measures;    confirmation measures;    properties of confirmation measures;   

DOI  :  10.1515/bpasts-2015-0036

学科分类：工程和技术（综合）

来源: Polska Akademia Nauk * Centrum Upowszechniania Nauki / Polish Academy of Sciences, Center for the Advancement of Science

【 摘 要 】

The paper considers a particular group of rule interestingness measures, called Bayesian confirmation measures, which have become the subject of numerous, but often exclusively theoretical studies. To assist and enhance their analysis in real-life situations, where time constraints may impede conducting such time consuming procedures, a visual technique has been introduced and described in this paper. It starts with an exhaustive and non-redundant set of contingency tables, which consists of all possible tables having the same number of observations. These data, originally 4-dimensional, may, owing to an inherent constraint, be effectively represented as a 3-dimensional tetrahedron, while an additional, scalar function of the data (e.g. a confirmation measure) may be rendered using colour.

【 授权许可】

Unknown