PixVid: Capturing Temporal Correlated Changes in Time Series
2017 (English) In: Proceedings - 5th International Conference on Advanced Cloud and Big Data, CBD 2017, 2017, p. 337-342, article id 8026960Conference paper, Published paper (Refereed)
Abstract [en]
Time series is one of the main research domains in variety of disciplines. Visualization is an important mechanism to present the raw data as well as the processed time series for further analysis. Many successful visualization techniques have been reported recently. However, most of these techniques display data statically, intending to show as much information as possible by one image or plot. We propose PixVid, a visualization technique which orders the dimensions by constructing a hierarchal dimension cluster tree, and then uses a pixel-oriented technique to form images and displays the data in video format.
Place, publisher, year, edition, pages 2017. p. 337-342, article id 8026960
Series
International Conference on Advanced Cloud and Big Data, ISSN 2573-301X
Keywords [en]
Data Visualisation, Big Data
National Category
Computer Sciences Computer Engineering
Identifiers URN: urn:nbn:se:miun:diva-31487 DOI: 10.1109/CBD.2017.65 ISI: 000426950400057 Scopus ID: 2-s2.0-85031717526 Local ID: STC ISBN: 978-1-5386-1072-5 (print) OAI: oai:DiVA.org:miun-31487 DiVA, id: diva2:1136373
Conference The Fifth International Conference on Advanced Cloud and Big Data, CBD, August 13-16, 2017, Shanghai, China
2017-08-282017-08-282018-04-03 Bibliographically approved