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Exploring lekagul sensor events using rules, aggregations, and selections
- Source :
- 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017-Proceedings, 193-194, STARTPAGE=193;ENDPAGE=194;TITLE=2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017-Proceedings, VAST
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers, 2018.
-
Abstract
- In this paper we demonstrate how we can study multivariate event sequences in the VAST Mini Challenge 1 data set using our system Eventpad, a notepad editor for event data. We illustrate the effectiveness of multivariate regular expressions, pattern aggregations, and selections to define custom events of interest, discover patterns within sequences, and study differences between sequences. Finally, we discuss our analysis process and summarize some patterns and anomalies we discovered in the data set.
- Subjects :
- Multivariate statistics
Interaction
business.industry
Event (computing)
Computer science
Multivariate events
020207 software engineering
02 engineering and technology
computer.software_genre
Regular expressions
Vehicle driving
Visualization
Data set
Data visualization
Event data
Sequence alignment
0202 electrical engineering, electronic engineering, information engineering
Regular expression
Data mining
business
computer
Event visualization
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017-Proceedings, 193-194, STARTPAGE=193;ENDPAGE=194;TITLE=2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017-Proceedings, VAST
- Accession number :
- edsair.doi.dedup.....ffee5e51034be63be044d644c9b741b6