Visualization of Time-Oriented Data

Aigner, Wolfgang; Miksch, Silvia; Schumann, Heidrun; Tominski, Christian

doi:10.1007/978-0-85729-079-3

Cited by 563 publications

(428 citation statements)

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Section: Refining Our Models and Definitions For Timementioning

confidence: 99%

“…Time and timeoriented data have distinct characteristics that make it worthwhile to treat such data as a separate data type [2,3]. Due to the importance of time-oriented data, its structure has been studied in numerous scientific publications (e.g., [2,11,41]). As proposed by Aigner et al [3], we divide the aspects of time-oriented data into general aspects required to adequately model the time domain as well as hierarchical organization of time and definition of concrete time elements, also called human-made abstractions.…”

Section: Refining Our Models and Definitions For Timementioning

confidence: 99%

See 1 more Smart Citation

Temporal Multivariate Networks

Archambault¹,

Abello²,

Kennedy³

et al. 2014

Multivariate Network Visualization

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Abstract. Networks that evolve over time, or dynamic graphs, have been of interest to the areas of information visualization and graph drawing for many years. Typically, its the structure of the dynamic graph that evolves as vertices and edges are added or removed from the graph. In a multivariate scenario, however, attributes play an important role and can also evolve over time. In this chapter, we characterize and survey methods for visualizing temporal multivariate networks. We also explore future applications and directions for this emerging area in the fields of information visualization and graph drawing.

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Section: Refining Our Models and Definitions For Timementioning

confidence: 99%

Section: Refining Our Models and Definitions For Timementioning

confidence: 99%

Temporal Multivariate Networks

Archambault¹,

Abello²,

Kennedy³

et al. 2014

Multivariate Network Visualization

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, the direction of reading is different in many cultures: right-left, left-right, top-down. This can influence the order in which visual elements in a visualization are decoded (e.g., the orientation of a time axis [72,3,13]). The formatting of number and date affects labels and questions (e.g., 1.000 and 22/02/2016 in Europe vs. 1,000 and 02/22/2016 in North America).…”

Section: Demographics and Expertisementioning

confidence: 99%

Crowdsourcing for Information Visualization: Promises and Pitfalls

Borgo

Lee

Bach

et al. 2017

Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments

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“…Exploration of temporal data is a common theme in InfoVis [12] with applications in domains as diverse as genealogy [13] and text analysis [14], though here we concentrate on applications tailored to network security analysis and the domain-specific problems they attempt to tackle.…”

Section: Related Workmentioning

confidence: 99%

Pianola - Visualization of Multivariate Time-Series Security Event Data

Thomson¹,

Graham

Kennedy

2013

2013 17th International Conference on Information Visualisation

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Abstract-Monitoring log files for network intrusions is unwieldy. To build a mental model of the log, an analyst is required to recognise continuous timelines and attack patterns from a dataset that is essentially limited to an ordered list of events. Information Visualization techniques arrange data into directly perceivable visual patterns that may alleviate some overheads associated with interpreting these datasets and improve the ability of users, especially those in resourcestretched Small and Medium sized Businesses (SMBs), to make sense of activity patterns in Intrusion Detection System (IDS) event logs. To this end, we discuss existing network security visualizations for IDS logs and after examining the strengths and drawbacks of those applications we have prototyped a visualization tool, Pianola, that arranges events on multiple timelines to reveal patterns both in time and across a network. The tool was evaluated against the traditional use of commandline interface (CLI)-based tools for analyzing network security events and displayed significant improvements in both recognition and detection of attacks and reduction in the users' subjective workload, measured using the NASA Task Load index (TLX).

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Visualization of Time-Oriented Data

Cited by 563 publications

References 0 publications

Temporal Multivariate Networks

Temporal Multivariate Networks

Crowdsourcing for Information Visualization: Promises and Pitfalls

Pianola - Visualization of Multivariate Time-Series Security Event Data

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