MuTIny: A Multi-Time Interval Pattern Discovery Approach To Preserve The Temporal Information In Between

TitleMuTIny: A Multi-Time Interval Pattern Discovery Approach To Preserve The Temporal Information In Between
Publication TypeConference Paper
Year of Publication2010
AuthorsBertone, A., T. Lammarsch, T. Turic, W. Aigner, S. Miksch, and J. Gärtner
Editorsdos Reis, A. P., and A. P. Abraham
Conference NameIADIS European Conference on Data Mining (ECDM 2010)
Pages101–106
PublisherInternational Association for Development of the Information Society
Conference LocationFreiburg, Germany
ISBN Number978-972-8939-23-6
Abstract

Finding trends, patterns, and relationships among patterns are very relevant tasks when dealing with time-oriented data and information. However, most of the proposed methods have a sequence of events as outcome, lacking either any knowledge about the intervals between them or about after how much time a particular pattern will reoccur. We present MuTIny, a novel approach extending the I-Apriori algorithm, which is able to discover so called multi-time interval patterns and we describe how it can be customized according to users’ needs. Moreover, a real world example illustrates its usefulness.

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URLhttp://publik.tuwien.ac.at/files/PubDat_218035.pdf
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