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Interactive Data Analytics for the Humanities [chapter]

Iryna Gurevych, Christian M. Meyer, Carsten Binnig, Johannes Fürnkranz, Kristian Kersting, Stefan Roth, Edwin Simpson
2018 Lecture Notes in Computer Science  
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

Samuel Smith, James Hogan, Markus Rittenbruch, Daniel Johnson, Margot Brereton
2015 Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction on - OzCHI '15  
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)

Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska
2016 Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA '16  
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

Jari Varsaluoma, Heli Väätäjä, Tomi Heimonen, Katariina Tiitinen, Jaakko Hakulinen, Markku Turunen, Harri Nieminen
2018 Proceedings of the 22nd International Academic Mindtrek Conference on - Mindtrek '18  
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

Luis Tari, Varish Mulwad, Anna von Reden
2016 Proceedings of the Workshop on Human-In-the-Loop Data Analytics - HILDA '16  
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

Wenqiang Cui
2019 IEEE Access  
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

Dominik Sacha, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey Ellis, Daniel A. Keim
2014 IEEE Transactions on Visualization and Computer Graphics  
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

Tera Marie Green, Ross Maciejewski
2013 2013 46th Hawaii International Conference on System Sciences  
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]

Wolfgang Stuerzlinger, Tim Dwyer, Steven Drucker, Carsten Görg, Chris North, Gerik Scheuermann
2018 Lecture Notes in Computer Science  
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

David Ebert, Brian Fisher, John Goodall, Paul Kantor
2012 2012 45th Hawaii International Conference on System Sciences  
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

Remco Chang, David S. Ebert, Daniel Keim
2014 ACM transactions on interactive intelligent systems (TiiS)  
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]

Martin Komenda, Daniel Schwarz
2013 IFIP Advances in Information and Communication Technology  
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

Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger, Khoa Tran, Fred Popowich
2016 2016 49th Hawaii International Conference on System Sciences (HICSS)  
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

Pak Chung Wong, Han-Wei Shen, Christopher R. Johnson, Chaomei Chen, Robert B. Ross
2012 IEEE Computer Graphics and Applications  
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

Richard Skarbez, Nicholas F. Polys, J. Todd Ogle, Chris North, Doug A. Bowman
2019 Frontiers in Robotics and AI  
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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