2009
DOI: 10.1109/tvcg.2009.117
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ActiviTree: Interactive Visual Exploration of Sequences in Event-Based Data Using Graph Similarity

Abstract: The identification of significant sequences in large and complex event-based temporal data is a challenging problem with applications in many areas of today's information intensive society. Pure visual representations can be used for the analysis, but are constrained to small data sets. Algorithmic search mechanisms used for larger data sets become expensive as the data size increases and typically focus on frequency of occurrence to reduce the computational complexity, often overlooking important infrequent s… Show more

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Cited by 71 publications
(52 citation statements)
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References 24 publications
(28 reference statements)
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“…A pattern that was identified as frequent, through the sequence identification functionality of our framework, 4 is the event-sequence: work→travel→prepare food→eat→private recreation. This sequence reflects a typical 'returning home after work'-pattern composed of traveling home after work, preparing dinner, eating and then relaxing (commonly through reading or watching TV).…”
Section: Usage Examplementioning
confidence: 99%
“…A pattern that was identified as frequent, through the sequence identification functionality of our framework, 4 is the event-sequence: work→travel→prepare food→eat→private recreation. This sequence reflects a typical 'returning home after work'-pattern composed of traveling home after work, preparing dinner, eating and then relaxing (commonly through reading or watching TV).…”
Section: Usage Examplementioning
confidence: 99%
“…The simplified data resulting from application of our contribution are possible events that can be further analyzed by these systems. Activitree [31] provides a powerful interactive visual interface that users can employ to choose which patterns are important while performing algorithms, like those based on the Apriori approach [4]. As these examples show how interactive visual interfaces can improve various steps of Data Mining, we are heeding the call and present an interactive visual interface for the data simplification step of value discretization which has received insufficient attention in most existing work.…”
Section: Samples For Application Of Interactive Visual Interfaces In mentioning
confidence: 99%
“…Inventing such methods seems to be the next important step after successfully performing data simplification. Approaches like Activitree [31] show that interactive visual interfaces are an outstanding way to make such methods more accessible and effective.…”
Section: Conclusion Limitations and Future Workmentioning
confidence: 99%
“…For example, in addition to the ``horizontal'' temporal summaries, ``vertical'' overviews can simultaneously show a different aggregation over records, such as (33,34) . Furthermore, a good vertical overview design may reduce the amount of Scroll necessary, improving overall user performance in information seeking.…”
Section: (Overview Differently)mentioning
confidence: 99%