Exploring Multivariate Event Sequences Using Rules, Aggregations, and Selections. Cappers, B. C. & van Wijk, J. J. IEEE Transactions on Visualization and Computer Graphics, 24(1):532–541, January, 2018. doi abstract bibtex Multivariate event sequences are ubiquitous: travel history, telecommunication conversations, and server logs are some examples. Besides standard properties such as type and timestamp, events often have other associated multivariate data. Current exploration and analysis methods either focus on the temporal analysis of a single attribute or the structural analysis of the multivariate data only. We present an approach where users can explore event sequences at multivariate and sequential level simultaneously by interactively defining a set of rewrite rules using multivariate regular expressions. Users can store resulting patterns as new types of events or attributes to interactively enrich or simplify event sequences for further investigation. In Eventpad we provide a bottom-up glyph-oriented approach for multivariate event sequence analysis by searching, clustering, and aligning them according to newly defined domain specific properties. We illustrate the effectiveness of our approach with real-world data sets including telecommunication traffic and hospital treatments.
@article{cappers_exploring_2018,
title = {Exploring {Multivariate} {Event} {Sequences} {Using} {Rules}, {Aggregations}, and {Selections}},
volume = {24},
issn = {2160-9306},
doi = {10.1109/TVCG.2017.2745278},
abstract = {Multivariate event sequences are ubiquitous: travel history, telecommunication conversations, and server logs are some examples. Besides standard properties such as type and timestamp, events often have other associated multivariate data. Current exploration and analysis methods either focus on the temporal analysis of a single attribute or the structural analysis of the multivariate data only. We present an approach where users can explore event sequences at multivariate and sequential level simultaneously by interactively defining a set of rewrite rules using multivariate regular expressions. Users can store resulting patterns as new types of events or attributes to interactively enrich or simplify event sequences for further investigation. In Eventpad we provide a bottom-up glyph-oriented approach for multivariate event sequence analysis by searching, clustering, and aligning them according to newly defined domain specific properties. We illustrate the effectiveness of our approach with real-world data sets including telecommunication traffic and hospital treatments.},
number = {1},
journal = {IEEE Transactions on Visualization and Computer Graphics},
author = {Cappers, Bram C.M. and van Wijk, Jarke J.},
month = jan,
year = {2018},
keywords = {HOW - Pattern Analysis, Type of Work: Tool/Software, WHY - Real-time or post-hoc Quantification and Re-Application, HOW: grammar based, HOW: visualization, HOW: pattern matching, Maybe related. A tool for analyzing sequence data, WHY: analyze multivariate event sequence data, WHY: reuse the analysis / query, ENCODING - Grammar},
pages = {532--541},
file = {IEEE Xplore Abstract Record:C\:\\Users\\conny\\Zotero\\storage\\8Q8IPD94\\8019837.html:text/html}
}
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