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Interactive Data Analytics for the Humanities
[chapter]
2018
Lecture Notes in Computer Science
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Besides the main challenges, we discuss existing and urgently required solutions to interactive data acquisition, model development, model interpretation, and system support for interactive data analytics ...
In this vision paper, we argue that current solutions to data analytics are not suitable for complex tasks from the humanities, as they are agnostic of the user and focused on static, predefined tasks ...
Interactive Data Analytics In this paper, we advocate research on interactive machine learning approaches for data analytics tasks in the humanities. ...
doi:10.1007/978-3-319-77113-7_41
fatcat:lyemn3e2xvdxfgqlavettn2dji
Visual Analytics for Large-Scale Bioinformatic Data Sets
2015
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction on - OzCHI '15
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challenges to researchers seeking to identify complex interactions. ...
Rapid advances in sequencing technologies (Next Generation Sequencing or NGS) have led to a vast increase in the quantity of bioinformatics data available, with this increasing scale presenting enormous ...
This requires reorganising the interface for better support for multitouch interaction and high pixel-density wall displays, such as QUT's Cube facility (Rittenbruch et al., 2013) . ...
doi:10.1145/2838739.2838829
dblp:conf/ozchi/SmithHRJB15
fatcat:h4expoinknfbxfoln25yc2tw3e
The case for interactive data exploration accelerators (IDEAs)
2016
Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA '16
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for interactive data exploration. ...
In this work, we first argue why existing analytics infrastructures do not support interactive data exploration and then outline the challenges and opportunities of building a system specifically designed ...
This research is funded in part by the Intel Science and Technology Center for Big Data, the NSF CAREER Award IIS-1453171, the Air Force YIP AWARD FA9550-15-1-0144, NSF IIS-1514491, and gifts from SAP, ...
doi:10.1145/2939502.2939513
dblp:conf/sigmod/CrottyGZBK16
fatcat:vmdau4bgpffyvdztitz22nelpm
Guidelines for Development and Evaluation of Usage Data Analytics Tools for Human-Machine Interactions with Industrial Manufacturing Systems
2018
Proceedings of the 22nd International Academic Mindtrek Conference on - Mindtrek '18
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We present the lessons learned during the development and evaluation process for UX-sensors, a visual data analytics tool for inspecting logged usage data from flexible manufacturing systems (FMS). ...
For future research, we encourage studies on insights emerging from usage data analytics and their impact on the viewpoints of the supplier and customer. ...
ACKNOWLEDGMENTS This study was supported by The Finnish Funding Agency for Innovation (TEKES), currently known as Business Finland, as a part of User Experience and Usability in Complex Systems (UXUS) ...
doi:10.1145/3275116.3275138
dblp:conf/mindtrek/VarsaluomaVHTHT18
fatcat:ze4hyj2x25ddtdooyo5bs57sq4
Interactive online learning for clinical entity recognition
2016
Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA '16
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We believe that our human-in-the-loop, online learning approach to entity recognition and linking shows promise that it is suitable for real-world applications. ...
The applicability of supervised, machine learning-based entity recognition and linking components in real-world applications can be hindered by the limited availability of training data. ...
To reduce the amount of training data, approaches such as active learning [13] leverage seed examples for initial training and select unlabeled examples for users to give feedback. ...
doi:10.1145/2939502.2939510
dblp:conf/sigmod/TariMR16
fatcat:ceqnerlskjedrh2ls6fxmbbefq
Visual Analytics: A Comprehensive Overview
2019
IEEE Access
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Visual analytics employs interactive visualization to integrate human judgment into algorithmic data-analysis processes. ...
As such, a novel categorization of visual-analytics applications from a technical perspective is proposed, which is based on the dimensionality of visualization and the type of interaction. ...
Human judgment is an integral part of the visual-analytics process, which relies on human-in-the-loop (HITL, a model that requires human interaction [53] ) based interactions. ...
doi:10.1109/access.2019.2923736
fatcat:bvjajbzleneedjmgwgzz7opsdm
Knowledge Generation Model for Visual Analytics
2014
IEEE Transactions on Visualization and Computer Graphics
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Visual analytics pursues a tight integration of human and machine by enabling the user to interact with the system. These interactions are illustrated in Figure 2 . ...
Action Finding Visualization Model Data Hypothesis Insight Knowledge Computer Human Exploration Loop Verification Loop Knowledge Generation Loop Fig. 1: Knowledge generation model for visual analytics: ...
In visual analytics the connection between the human and computer uses the humans interaction abilities and perception. ...
doi:10.1109/tvcg.2014.2346481
pmid:26356874
fatcat:pjwwmo65qjfmtmmf4ybuu7stw4
A Role for Reasoning in Visual Analytics
2013
2013 46th Hawaii International Conference on System Sciences
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It involves computational analytics (the visualization of both raw and derived data) and an analytical process which requires a human to extract knowledge from the data by directly interacting and manipulating ...
both the visual and analytical components of the system. ...
What the user does with the visualization is often assumed (for example, as variables of interaction used to refine the data display) or not considered (for example, how the analytical process is supported ...
doi:10.1109/hicss.2013.58
dblp:conf/hicss/GreenM13
fatcat:7bvpozj3hvh33icfoafdaqp62i
Immersive Human-Centered Computational Analytics
[chapter]
2018
Lecture Notes in Computer Science
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the analytic cycle. ...
We consider both sides of machine/human collaboration: allowing the human to more fluidly control the machine process; and also allowing the human to understand the results, derive insights and continue ...
Acknowledgements Dwyer acknowledges support by the Australian Research Council Discovery Scheme, project DP180100755. ...
doi:10.1007/978-3-030-01388-2_5
fatcat:lct2j4wyhzellpefvrtakqrgje
Introduction to Visual Analysis of Massive Date for Decision Support and Operational Management Minitrack
2012
2012 45th Hawaii International Conference on System Sciences
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Taken in isolation, algorithmic "data sciences" approaches and human-centred "visual analytics" methods hold great promise for operationalizing massive datasets and streaming data in support of a broad ...
Accepted papers are: • A Focus + Context Technique for Visualizing a Document Collection. • A Work-Centered Visual Analytics Model to Support Engineering Design with Interactive Visualization and Data-mining ...
Support Engineering Design with Interactive Visualization and Data-mining. • Applied Visual Analytics for Exploring the National Health and Nutrition Examination Survey. • The Whole Story: Building the ...
doi:10.1109/hicss.2012.674
fatcat:qkcbzvvfd5d6dgn6s4bvwrs4pa
Introduction to the Special Issue on Interactive Computational Visual Analytics
2014
ACM transactions on interactive intelligent systems (TiiS)
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It explains why visual analytics is crucial to the growing needs surrounding data analysis, and it shows how the four articles selected for this issue reflect this theme. ...
This editorial introduction describes the aims and scope of ACM Transactions on Interactive Intelligent Systems's special issue on interactive computational visual analytics. ...
the human interactively explores the reduced data space to discover trends and patterns and make informed decisions. ...
doi:10.1145/2594648
fatcat:bwtdcbl4g5gmjju4zuafz4r76i
Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools
[chapter]
2013
IFIP Advances in Information and Communication Technology
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In this paper we introduce the potential usefulness of visual analytics for researchers working in the field of environmental informatics. ...
With the use of visual analytics methods we can easily discover the unexpected relations and interesting patterns, which are hidden in the huge data warehouses. ...
In addition to the raw performance needed to support interactive analytics, characteristics of the data itself affect the transformations and representations for both computation and visualization. ...
doi:10.1007/978-3-642-41151-9_58
fatcat:3zc7uzlyg5cnllf4tdtsa2iley
Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction
2016
2016 49th Hawaii International Conference on System Sciences (HICSS)
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We present the conceptual architecture of a mixed-initiative visual analytics system (MIVAS) and the five key components that make up MIVASs (data wrangling, alternative discovery and comparison, parametric ...
Existing surveys in visual analytics focus on the importance of the topic. However, many do not discuss the increasingly critical area of mixed-initiative systems. ...
As humans rely largely on vision for most interaction, it is often beneficial for their of analytical reasoning if this data is summarized and visualized in various different ways, such as charts, networks ...
doi:10.1109/hicss.2016.181
dblp:conf/hicss/MakoninMSTP16
fatcat:5vo2aolwnbfadpop5d7hqpjcxm
The Top 10 Challenges in Extreme-Scale Visual Analytics
2012
IEEE Computer Graphics and Applications
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Acknowledgments The article benefited from a discussion with Pat Hanrahan. We ...
for human-computer interaction. ...
Parallelism To cope with the sheer size of data, parallel processing can effectively reduce the turnaround time for visual computing and hence enable interactive data analytics. ...
doi:10.1109/mcg.2012.87
pmid:24489426
pmcid:PMC3907777
fatcat:styns5pstbb7jffqygbp75pwwi
Immersive Analytics: Theory and Research Agenda
2019
Frontiers in Robotics and AI
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Advances in a variety of computing fields, including "big data," machine learning, visualization, and augmented/mixed/virtual reality, have combined to give rise to the emerging field of immersive analytics ...
Thus far, we feel that immersive analytics research has been somewhat ad hoc, possibly owing to the fact that there is not yet an organizing framework for immersive analytics research. ...
RS and JO developed the research plan regarding Immersive Archaeology.
FUNDING This work on Immersive Space to Think was partially funded by the Data and Decisions destination area at Virginia Tech. ...
doi:10.3389/frobt.2019.00082
pmid:33501097
pmcid:PMC7805807
fatcat:3dxi345slbfflend5amk6t2esq
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