Order, duration and gap - take them all

A. Zheng, J. Ma, Miltiadis Petridis, B. Xiao

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Based on a formal characterization of time-series and state-sequences, a new distance measurement dealing with both non-temporal and temporal distances for state-sequence matching is proposed in this paper. In addition to formulating the temporal order over state-sequences, it also takes into account of temporal distances in terms of both the temporal duration of each state and the temporal gaps between adjacent pairs of states, which are neglected in most existing approaches to time-series and state-sequence matching. In particular, when specialized as a real-penalty-style measurement by means of reifying the cost functions, it is more flexible with regards to real-life applications than binary-value-style distance measurements. In addition, it is more robust than those existing real-penalty-style distance measurements since it can filter out noise during the matching procedure. Experimental results on reconstructed time-series data from UCI KDD Archive demonstrate that it can tackle the most general problems in matching time-series data with rich temporal information.
Original languageEnglish
Title of host publication3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT)
PublisherIEEE
Pages647-651
Number of pages5
Volume2
ISBN (Print)9781424455379
DOIs
Publication statusPublished - 9 Jul 2010
Event3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT) - Chengdu, 9-11 July, 2010
Duration: 9 Jul 2010 → …

Conference

Conference3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT)
Period9/07/10 → …

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