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ISAVS

Steve Petruzza, Aniketh Venkat, Attila Gyulassy, Giorgio Scorzelli, Frederick Federer, Alessandra Angelucci, Valerio Pascucci, Peer-Timo Bremer
2017 SIGGRAPH Asia 2017 Symposium on Visualization on - SA '17  
Current software solutions enable data exploration with limited interactivity for visualization and analytic tasks.  ...  First, a hierarchical streaming data access layer enables interactive exploration of remote data, with fast data fetching to test analytics on subsets of the data.  ...  The ViSUS framework allows interactive visualization and exploration of large-scale datasets, with the ability to add filters or simple scripting operations to the visualization pipeline.  ... 
doi:10.1145/3139295.3139299 pmid:30148289 pmcid:PMC6105268 dblp:conf/siggraph/PetruzzaVGSFAPB17 fatcat:ppcwkpk32jd65arcaw3nrnvzne

GeoLens: Enabling Interactive Visual Analytics over Large-Scale, Multidimensional Geospatial Datasets

Jared Koontz, Matthew Malensek, Sangmi Pallickara
2014 2014 IEEE/ACM International Symposium on Big Data Computing  
GEOLENS: ENABLING INTERACTIVE VISUAL ANALYTICS OVER LARGE-SCALE, MULTIDIMENSIONAL GEOSPATIAL DATASETS With the rapid increase of scientific data volumes, interactive tools that enable effective visual  ...  In this paper, we present an interactive visual analytics framework, GeoLens. GeoLens provides fast and expressive interactions with voluminous geospatial datasets.  ...  Large Scale Visual Data Analytics There are existing products, such as AT&T's Nanocubes [23] or Stanford's imMens [24] , that allow for visualization of large geospatial time series datasets.  ... 
doi:10.1109/bdc.2014.12 dblp:conf/bdc/KoontzMP14 fatcat:h7bhew75pvewzi7uritnmyoqwe

A Survey on Visual Analytics of Social Media Data

Yingcai Wu, Nan Cao, David Gotz, Yap-Peng Tan, Daniel A. Keim
2016 IEEE transactions on multimedia  
Many visual analytics methods have been proposed across disciplines to understand large-scale structured and unstructured social media data.  ...  Visual analytics, which is an emerging research direction, has received considerable attention in recent years.  ...  Recent progress on visual analytics creates new opportunities for understanding large-scale, dynamic, and heterogeneous social media data.  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

VICE: Visual Identification and Correction of Neural Circuit Errors [article]

Felix Gonda, Xueying Wang, Johanna Beyer, Markus Hadwiger, Jeff W. Lichtman, Hanspeter Pfister
2021 arXiv   pre-print
Recent advances in automatic image segmentation and synapse prediction in electron microscopy (EM) datasets of the brain have made reconstructions of neurons possible at the nanometer scale.  ...  We accomplish this with automated likely-error detection and synapse clustering that drives the proofreading effort with highly interactive 3D visualizations.  ...  For large-scale exploration, ConnectomeExplorer provides a sophisticated query system for analyzing objects on multiple domains.  ... 
arXiv:2105.06861v1 fatcat:jezxajqacvgpvftz5npnwfoya4

Big Data Analytics: A Perspective View

Suman Pandey
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Big data is a term coined for massive data sets with more varied and complex structure and also having the difficulties of storing, analysing and visualizing it for further usages.  ...  The process of diving into large amounts of data to discover patterns and disguised correlations is named as big data analytics.  ...  Analytics Pentaho [41] is another platform for Big Data which produces reports from both structured and unstructured large datasets.  ... 
doi:10.23956/ijarcsse/sv7i5/0237 fatcat:mq75vo3n4rbihnc43mtpktzrru

Democratizing systems immunology with modular transcriptional repertoire analyses

Damien Chaussabel, Nicole Baldwin
2014 Nature reviews. Immunology  
Here, we describe an analytic strategy relying on the a priori determination of co-dependent gene sets for a given biological system.  ...  Such modular transcriptional repertoires can in turn be used to simplify the analysis and interpretation of large-scale datasets and to design targeted immune fingerprinting assays and web applications  ...  Acknowledgments We would like to thank Scott Presnell, Matthew C Altman and Elizabeth Whalen for input and comments. Brenda Norris for editorial help.  ... 
doi:10.1038/nri3642 pmid:24662387 pmcid:PMC4118927 fatcat:va74xe6tu5bjzcqn2sy247bbsu

Configurable Spaces: Temporal analysis in diagrammatic contexts

Thomas Kapler, Ryan Eccles, Robert Harper, William Wright
2008 2008 IEEE Symposium on Visual Analytics Science and Technology  
In this paper we present Configurable Spaces, a novel analytical method for visualizing patterns of activity over time in complex diagrammaticallyrepresented systems.  ...  This paper traces progress from concept to prototype, and discusses how diagrams can be created, transformed and leveraged for analysis, including generating diagrams from knowledge bases, visualizing  ...  The authors wish to thank IARPA, NIST, NGA and all IARPA, NIST and NGA staff for their support and encouragement.  ... 
doi:10.1109/vast.2008.4677355 dblp:conf/ieeevast/KaplerEHW08 fatcat:euvylzb3nnacfariao3zmve5by

NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations

Mennatallah El-Assady, Rita Sevastjanova, Bela Gipp, Daniel Keim, Christopher Collins
2017 Computer graphics forum (Print)  
We present NEREx, an interactive visual analytics approach for the exploratory analysis of verbatim conversational transcripts.  ...  In addition to distant-reading, we integrated close-reading views for a text-level investigation process.  ...  We developed NEREx, an interactive visual analytics framework for Named-Entity Relationship Exploration.  ... 
doi:10.1111/cgf.13181 fatcat:fcwph6wasrem7oh3c5qi4nsc2i

Occam's razor and petascale visual data analysis

E W Bethel, C Johnson, S Ahern, J Bell, P-T Bremer, H Childs, E Cormier-Michel, M Day, E Deines, T Fogal, C Garth, C G R Geddes (+20 others)
2009 Journal of Physics, Conference Series  
An effective approach will likely combine application architectures that are capable of running on today's largest platforms to address the challenges posed by large data with visual data analysis techniques  ...  One of the central challenges facing visualization research is how to effectively enable knowledge discovery.  ...  The key here is to provide an implementation that runs sufficiently quickly as to enable interactive visual data exploration of large particle-based datasets.  ... 
doi:10.1088/1742-6596/180/1/012084 fatcat:tctjmafyfbhbfpwifrt3dhblgm

Structuring Visual Exploratory Analysis of Skill Demand

Aba-Sah Dadzie, Elisa Sibarani, Inna Novalija, Simon Scerri
2018 Social Science Research Network  
space, to allow individuals and institutions to interactively explore and interpret the dynamic skill demand landscape for their specific needs.  ...  The analysis of increasingly large and diverse data for meaningful interpretation and question answering is handicapped by human cognitive limitations.  ...  However, the very dense graph, for what is only a sub-set of this summary dataset, hampers exploration and analysis.  ... 
doi:10.2139/ssrn.3199321 fatcat:ce7sne5u6bdntbsqpnbx5yio4a

Structuring visual exploratory analysis of skill demand

A.-S. Dadzie, E.M. Sibarani, I. Novalija, S. Scerri
2018 Journal of Web Semantics  
space, to allow individuals and institutions to interactively explore and interpret the dynamic skill demand landscape for their specific needs.  ...  The analysis of increasingly large and diverse data for meaningful interpretation and question answering is handicapped by human cognitive limitations.  ...  However, the very dense graph, for what is only a sub-set of this summary dataset, hampers exploration and analysis.  ... 
doi:10.1016/j.websem.2017.12.004 fatcat:zldanxpkgjbiloqwfijgpp7qji

Visual Analytics: Leveraging Cognitive Principles to Accelerate Biomedical Discoveries [chapter]

Suresh K. Bhavnani
2015 Health Informatics Series  
Illuminating the Path: The R&D agenda for visual analytics national visualization and analytics center. Tufte, E. R. (1983). The visual display of quantitative information. Chesire: Graphics Press.  ...  Acknowledgements I thank Shyam Visweswaran, Rohit Divekar, and Bryant Dang for their contributions to this chapter.  ...  Because visual processing is parallel in nature, it scales to handle large amounts of data.  ... 
doi:10.1007/978-3-319-17272-9_14 fatcat:uvdsgrnlmnffponl4kr2xadpji

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review [article]

Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu
2022 arXiv   pre-print
With the gradually complex human-computer interaction requirements (e.g., multimodal inputs, time sensitivity), it is difficult for traditional text-based dialogue system to meet the demands for more vivid  ...  and convenient interaction.  ...  ACKNOWLEDGMENTS This work was partially supported by the National Science Fund for Distinguished Young Scholars (62025205), and the National Natural Science Foundation of China (No. 62032020, 61960206008  ... 
arXiv:2207.00782v1 fatcat:a57laj75xfa43gg4hjvxdh4c4i

Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets

Jian Zhao, Christopher Collins, Fanny Chevalier, Ravin Balakrishnan
2013 IEEE Transactions on Visualization and Computer Graphics  
Due to the scale and complexity of data, robust conclusions are usually formed by coordinating many sub-regions in an information space, which leads to the approach of multi-focus visual exploration that  ...  While prior research has proposed a myriad of information visualization techniques, there still lacks comprehensive understanding about how visual exploration can be facilitated by multi-focus interactive  ...  ACKNOWLEDGEMENTS Over the last six years, my doctoral study has been an invaluable experience in my life. It has been a challenging adventure, and I was fortune to receive support from many people.  ... 
doi:10.1109/tvcg.2013.167 pmid:24051774 fatcat:43xwwk6lezbqzk2bf65ivvkp5u

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)  
interaction, history tracking and exploration, and system agency and adaptation), which forms our main contribution.  ...  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.  ...  datasets that are optimized for potential visual exploration.  ... 
doi:10.1109/hicss.2016.181 dblp:conf/hicss/MakoninMSTP16 fatcat:5vo2aolwnbfadpop5d7hqpjcxm
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