Interactive Visual Sequence Mining Based on Pattern-Growth
2014 (English)In: IEEE Conference on Visual Analytics Science and Technology (VAST), Institute of Electrical and Electronics Engineers (IEEE), 2014Conference paper, Poster (Refereed)
Sequential pattern mining aims to discover valuable patterns from datasets and has a vast number of applications in various fields. Due to the combinatorial nature of the problem, the existing algorithms tend to output long lists of patterns that often suffer from a lack offocus from the user perspective. Our aim is to tackle this problemby combining interactive visualization techniques with sequential pattern mining to create a “transparent box” execution model for existing algorithms. This paper describes our first step in this direction and gives an overview of a system that allows the user to guide the execution of a pattern-growth algorithm at suitable points, through a powerful visual interface.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2014.
Computer and Information Science
IdentifiersURN: urn:nbn:se:liu:diva-115876DOI: 10.1109/VAST.2014.7042532ISBN: 978-147996227-3OAI: oai:DiVA.org:liu-115876DiVA: diva2:796987
IEEE Conference on Visual Analytics Science and Technology (VAST)