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EventAction: Visual analytics for temporal event sequence recommendation

Fan Du, Catherine Plaisant, Neil Spring, Ben Shneiderman
2016 2016 IEEE Conference on Visual Analytics Science and Technology (VAST)  
1: EventAction provides a visual analytics approach for helping data analysts recommend actions to improve the outcome.  ...  ACKNOWLEDGEMENTS We thank all the participants involved in the studies and the reviewers for their valuable feedback. We appreciate the partial support for this research from Adobe.  ...  Temporal Event Sequences Visualizations Early research on visualizing temporal event sequences focuses on showing individual records.  ... 
doi:10.1109/vast.2016.7883512 dblp:conf/ieeevast/DuPSS16 fatcat:lxmreaoeffahtnt2e4h6gbteiy

Survey on Visual Analysis of Event Sequence Data [article]

Yi Guo, Shunan Guo, Zhuochen Jin, Smiti Kaul, David Gotz, Nan Cao
2020 arXiv   pre-print
This high complexity of event sequence data makes it difficult for analysts to manually explore and find patterns, resulting in ever-increasing needs for computational and perceptual aids from visual analytics  ...  Event sequence data record series of discrete events in the time order of occurrence.  ...  The career recommendation technique, EventAction [20] , uses a calendar view to show event sequences and juxtaposed them in a ranked list for visual comparison.  ... 
arXiv:2006.14291v1 fatcat:zmlsmiabzbec5cbtoltk3yc3oe

Using Dashboard Networks to Visualize Multiple Patient Histories: A Design Study on Post-operative Prostate Cancer

Jurgen Bernard, David Sessler, Joern Kohlhammer, Roy Alan Ruddle
2018 IEEE Transactions on Visualization and Computer Graphics  
In this design study, we present a visualization technique that segments patients' histories instead of treating them as raw event sequences, aggregates the segments using criteria such as the whole history  ...  or treatment combinations, and then visualizes the aggregated segments as static dashboards that are arranged in a dashboard network to show longitudinal changes.  ...  ACKNOWLEDGMENTS We would like to thank our collaboration partners at the Martiniklinik at UKE in Hamburg for their time, advice, and all the fruitful discussions.  ... 
doi:10.1109/tvcg.2018.2803829 pmid:29994364 fatcat:cfezef44mfdwpjevrsjmniocqy

Real‐time business process monitoring using formal concept analysis

Bokyoung Kang, Jae‐Yoon Jung, Nam Wook Cho, Suk‐Ho Kang
2011 Industrial management & data systems  
Practical implications - The proposed approach focuses on the visualization of probable event occurrences on the basis of historical data.  ...  Such visualization can be utilized by industrial managers to evaluate the status of any given instance during business processes and to easily predict possible subsequent states for purposes of effective  ...  that s t+∆t is equal to s t . 2) If an additional event has been generated in the monitoring interval ∆t, the probable next state s t+∆t is a union of s t and the occurred event satisfying temporal sequences  ... 
doi:10.1108/02635571111137241 fatcat:pt7rr3qzjbfhtisi67fcs3b76m

A Prescriptive Intelligent System for an Industrial Wastewater Treatment Process: Analyzing pH as a First Approach

Luis Arismendy, Carlos Cárdenas, Diego Gómez, Aymer Maturana, Ricardo Mejía, Christian G. Quintero M.
2021 Sustainability  
An important issue today for industries is optimizing their processes.  ...  The first is to characterize and adapt a proper prediction model for the decision-making scheme.  ...  About logic-based models, EventAction is the first interface to give recommendations about temporal event sequences. Reference [28] shows event action in the context of student advising.  ... 
doi:10.3390/su13084311 fatcat:isrny6hhkvf43ow7bm5ytrjdeq

Explaining individual and collective programming students' behaviour by interpreting a black-box predictive model

Filipe Dwan Pereira, Samuel C. Fonseca, Elaine H. T. Oliveira, Alexandra I. Cristea, Henrik Bellhauser, Luiz Rodrigues, David B. F. Oliveira, Seiji Isotani, Leandro S. G. Carvalho
2021 IEEE Access  
ACKNOWLEDGMENT This research, carried out within the scope of the Samsung-UFAM Project for Education and Research (SUPER), according to Article 48 of Decree nº 6.008/2006 (SUFRAMA), was partially funded  ...  and eventActivity.  ...  lack strong multiscale temporal or spatial structure [13] , [35] .  ... 
doi:10.1109/access.2021.3105956 fatcat:7us7vnphgfbp3osbrzet5c6zaa

Visualizing Research Impact through Citation Data

Yong Wang, Conglei Shi, Liangyue Li, Hanghang Tong, Huamin Qu
2018 ACM transactions on interactive intelligent systems (TiiS)  
To fill this gap, we propose an interactive visualization tool, ImpactVis, for better exploration of research impact through citation data.  ...  Previous work on visualizing citation data usually only shows limited aspects of research impact and may suffer from other problems including visual clutter and scalability issues.  ...  Sinatra for providing us with the Physical Review Dataset, and Microsoft Research for releasing the Microsoft Academic Graph Dataset that is used in this article.  ... 
doi:10.1145/3132744 fatcat:dtqo4e4vsfe3feogvbjtxczyyi

A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems [article]

Sina Mohseni and Niloofar Zarei and Eric D. Ragan
2020 arXiv   pre-print
Further, we provide summarized ready-to-use tables of evaluation methods and recommendations for different goals in XAI research.  ...  Aiming to support diverse design goals and evaluation methods in XAI research, after a thorough review of XAI related papers in the fields of machine learning, visualization, and human-computer interaction  ...  ACKNOWLEDGMENTS The authors would like to thank anonymous reviewers for their helpful comments on earlier versions of this manuscript.  ... 
arXiv:1811.11839v5 fatcat:pl4mmtd2zzhipilebnc2khagu4

An Intermediate Data-driven Methodology for Scientific Workflow Management System to Support Reusability [article]

Debasish Chakroborti
2020 arXiv   pre-print
In our second attempt, we explored the possibilities and introduced an automatic recommendation technique for a SWfMS from real-world workflow data (i.e Galaxy [1] workflows) where our investigations show  ...  In this thesis first we propose an intermediate data management scheme for a SWfMS.  ...  Such as every event is tracked with hitType, eventCategory, eventAction, event-Value, and eventLabel for all of the four workflows.  ... 
arXiv:2010.14057v1 fatcat:fo5jaqdzavdmzbacxpd5wtj6yy

Generating Evidence for COPD Clinical Guidelines Using EHRs

Amber M Johnson
2019
The software framework consists of two tools: Patient Aggregated Care Events (PACE), a novel tool for constructing and visualizing entire medical histories of both individual patients and patient cohorts  ...  A conceptual framework that structures components, such as data storage, aggregation, extraction, and visualization, to support EHR data analytics for granular analysis is introduced.  ...  Specifically, these techniques aggregate patient data and create temporal event sequences [122, 159, 162].  ... 
doi:10.25394/pgs.8980349 fatcat:pgkmqqhomrhhpewq7f5astagpa