3D Matrix-Based Visualization System of Association RulesShow others and affiliations
2017 (English)In: IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology, IEEE, 2017, p. 357-362, article id 8031499Conference paper, Published paper (Refereed)
Abstract [en]
With the growing number of mining datasets, it becomes increasingly difficult to explore interesting rules because of the large number of resultant and its nature complexity. Studies on human perception and intuition show that graphical representation could be a better illustration of how to seek information from the data using the capabilities of human visual system. In this work, we present and implement a 3D matrix-based approach visualization system of association rules. The main visual representation applies the extended matrix-based approach with rule-to-items mapping to general transaction data set. A novel method merging rules and assigning weight is proposed in order to reduce the dimension of the association rules, which will help users to find more important items in the new rule. Furthermore, several interactions such as sorting, filtering, zoom and rotation, facilitate decision-makers to explore the rules which are of interest in various aspects. Finally, extensive evaluations have been conducted to assess the system from a logical reasoning point of view.
Place, publisher, year, edition, pages
IEEE, 2017. p. 357-362, article id 8031499
Keywords [en]
Association rule, Matrix-based apporach, Reduction, Visualization system
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:miun:diva-32280DOI: 10.1109/CIT.2017.39ISI: 000426119400055Scopus ID: 2-s2.0-85032394793ISBN: 9781538609583 (print)OAI: oai:DiVA.org:miun-32280DiVA, id: diva2:1163135
Conference
17th IEEE International Conference on Computer and Information Technology, CIT 2017, Helsinki, Finland, 21 August 2017 through 23 August 2017
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)2017-12-062017-12-062019-09-09Bibliographically approved