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A survey on information visualization: recent advances and challenges

Shixia Liu, Weiwei Cui, Yingcai Wu, Mengchen Liu
2014 The Visual Computer  
The boom in big data analytics has triggered broad use of InfoVis in a variety of domains, ranging from finance to sports to politics.  ...  Information visualization (InfoVis), the study of transforming data, information, and knowledge into interactive visual representations, is very important to users because it provides mental models of  ...  Streaming data is defined as data with a regular rate of flow through hardware.  ... 
doi:10.1007/s00371-013-0892-3 fatcat:k2y4xrmffzghvldzn6fg2tkjqi

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  
Visual analytics, which is an emerging research direction, has received considerable attention in recent years.  ...  Many visual analytics methods have been proposed across disciplines to understand large-scale structured and unstructured social media data.  ...  Topic streams are a primary view of Visual Backchannel that uses stacked graphs to visualize the dynamic changes in the frequencies of word stems over time from a live-changing social stream, such that  ... 
doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq

A Survey of Visual Analytics Techniques for Machine Learning [article]

Jun Yuan, Changjian Chen, Weikai Yang, Mengchen Liu, Jiazhi Xia, Shixia Liu
2020 arXiv   pre-print
Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization.  ...  We also discuss and highlight research challenges and promising potential future research opportunities useful for visual analytics researchers.  ...  Click stream data are a widely studied kind of time-series data in the field of visual analytics.  ... 
arXiv:2008.09632v1 fatcat:mnd4toarbvczbb3vqdsqtrbs7q

An Application of Latent Semantic Analysis for Text Categorization

Gang Kou, Yi Peng
2015 International Journal of Computers Communications & Control  
It is a challenge task to discover major topics from text, which provide a better understanding of the whole corpus and can be regarded as a text categorization problem.  ...  The goal of this paper is to apply latent semantic analysis (LSA) approach to extract common factors that representing concepts hidden in a large group of text.  ...  An Application of Latent Semantic Analysis for Text Categorization 367 Bibliography  ... 
doi:10.15837/ijccc.2015.3.1923 fatcat:yyaaw7l62fhdnp256gec73o46y

TimeArcs: Visualizing Fluctuations in Dynamic Networks

T. N. Dang, N. Pendar, A. G. Forbes
2016 Computer graphics forum (Print)  
In this paper we introduce TimeArcs, a novel visualization technique for representing dynamic relationships between entities in a network.  ...  Our approach merges multiple force-directed layouts at different time points into a single comprehensive visualization that provides a big picture overview of the most significant clusters within a user-defined  ...  social networks [RTJ * 11], and visualizing relationships between evolving topics in text streams [CLT * 11, XWW * 13].  ... 
doi:10.1111/cgf.12882 fatcat:3houlu5rzbcctfhsjkjmirhn3a

A survey of visual analytics techniques for machine learning

Jun Yuan, Changjian Chen, Weikai Yang, Mengchen Liu, Jiazhi Xia, Shixia Liu
2020 Computational Visual Media  
AbstractVisual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization.  ...  We also discuss and highlight research challenges and promising potential future research opportunities useful for visual analytics researchers.  ...  Acknowledgements This research is supported by the National Key R&D Program of China (Nos. 2018YFB1004300 and 2019YFB1405703), the National Natural Science Foundation of China (Nos. 61761136020, 61672307  ... 
doi:10.1007/s41095-020-0191-7 fatcat:ibrmost24rgtnctztrmcdvz6dq

Visual Analysis of Conflicting Opinions

Chaomei Chen, Fidelia Ibekwe-SanJuan, Eric SanJuan, Chris Weaver
2006 2006 IEEE Symposium On Visual Analytics And Technology  
ABSTRACT Understanding the nature and dynamics of conflicting opinions is a profound and challenging issue.  ...  In this paper we address several aspects of the issue through a study of more than 3,000 Amazon customer reviews of the controversial bestseller The Da Vinci Code, including 1,738 positive and 918 negative  ...  Acknowledgements The work is in part supported by the Northeast Visualization and Analytics Center (NEVAC).  ... 
doi:10.1109/vast.2006.261431 dblp:conf/ieeevast/ChenISW06 fatcat:bwymplo7crctnma6lgizhlursu


V. V. Kyrychenko, Ye. V. Lesina
2017 Electronics and Control Systems  
Dynamic chaotic systems in their implementation in microprocessor systems, because of the discreteness of the functioning of the latter, are replaced by discrete models.  ...  At present, dynamical systems with chaotic behavior are intensively investigated with different points of view, and the areas of their application are unusually wide.  ...  For visualization, the authors used binary sequences cards. Those, the construction of a graphic area of pixels in which each pixel corresponds to a specific bit of the stream.  ... 
doi:10.18372/1990-5548.53.12137 fatcat:xqngtew2rfhdtgslbekil76myq

Scalable Visual Analytics of Massive Textual Datasets

M. Krishnan, S. Bohn, W. Cowley, V. Crow, J. Nieplocha
2007 2007 IEEE International Parallel and Distributed Processing Symposium  
This paper describes the first scalable implementation of a text processing engine used in visual analytics tools.  ...  By developing a parallel implementation of the text processing engine, we enabled visual analytics tools to exploit cluster architectures and handle massive datasets.  ...  To address the scalability challenge of current visual analytics software such as IN-SPIRE™, we focused on the text processing engine.  ... 
doi:10.1109/ipdps.2007.370232 dblp:conf/ipps/KrishnanBCCN07 fatcat:tkcnjcravza5fm4r2awbn3wcqi

Interactive Visual Alignment of Medieval Text Versions

Stefan Janicke, David Joseph Wrisley
2017 2017 IEEE Conference on Visual Analytics Science and Technology (VAST)  
We present a visual analytics environment that supports computationally aligning such complex textual differences typical of orally inflected medieval poetry.  ...  For the purpose of analyzing alignment, we provide interactive visualizations for different text hierarchy levels, specifically, a meso reading view to support investigating repetition and variance at  ...  Visual analytics approach: In order to realize to "visually solidify mouvance," we implemented a visual analytics system that allows dynamic manipulation of parameters, updates the visual representation  ... 
doi:10.1109/vast.2017.8585505 dblp:conf/ieeevast/JanickeW17 fatcat:xso5afeht5dn5e57d5ztleo5ty

A Markov approach for increasing precision in the assessment of data-intensive behavioral interventions

Vincent Berardi, Ricardo Carretero-González, John Bellettiere, Marc A. Adams, Suzanne Hughes, Melbourne Hovell
2018 Journal of Biomedical Informatics  
Additionally, the largest changes in behavior dynamics were associated with the introduction of behavioral feedback.  ...  Existing analytic tools were not developed to capitalize on this opportunity as they typically focus on first-order findings such as changes in the level and/or slope of outcome variables over different  ...  Similar data intensity is noted in the text Intensive Longitudinal Methods [5] , where the measurement frequency ranged in duration from 10 through 29 observations.  ... 
doi:10.1016/j.jbi.2018.07.023 pmid:30075301 pmcid:PMC6697417 fatcat:gmfwzpdg2regvmxm77zg5ef7sy

TextLuas: Tracking and Visualizing Document and Term Clusters in Dynamic Text Data [article]

Derek Greene, Daniel Archambault, Václav Belák, Pádraig Cunningham
2014 arXiv   pre-print
For large volumes of text data collected over time, a key knowledge discovery task is identifying and tracking clusters.  ...  Motivated by this model, the TextLuas system provides an implementation for tracking these dynamic clusters and visualizing their evolution using a metro map metaphor.  ...  Acknowledgment This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under Grant Numbers 08/SRC/I140 and SFI/12/RC/2289.  ... 
arXiv:1502.04609v1 fatcat:uzmpsy7ennearlvqlwddmtp7oy

Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks [article]

Chuan Wang, Takeshi Onishi, Keiichi Nemoto, Kwan-Liu Ma
2019 arXiv   pre-print
We present a visual analytics approach to facilitate this task by revealing the RNN attention for all data instances, their temporal positions in the sequences, and the attribution of variables at each  ...  We demonstrate with real-world datasets that our approach can help data scientists to understand such dynamics in deep RNNs from the training results, hence guiding their modeling process.  ...  The weight matrices W x and recurrent weight matrix W h are updated through the optimization in the back-propagation process through time.  ... 
arXiv:1901.05574v1 fatcat:5ikq3zzflzdqffv2wmsx3qikru

VizScribe: A visual analytics approach to understand designer behavior

Senthil Chandrasegaran, Sriram Karthik Badam, Lorraine Kisselburgh, Kylie Peppler, Niklas Elmqvist, Karthik Ramani
2017 International Journal of Human-Computer Studies  
To address this need, we present VizScribe, a visual analytics framework that employs multiple coordinated multiple views that enable the viewing of such data from different perspectives.  ...  VizScribe allows designers to create, customize, and extend interactive visualizations for design protocol data such as video, transcripts, sketches, sensor data, and user logs.  ...  International Journal of Human -Computer Studies 100 (2017) 66-80  ... 
doi:10.1016/j.ijhcs.2016.12.007 fatcat:alkqh3l5bna2zbswg6jgrlzj2m

What's the big deal about big data?

Nick Cercone, F'IEEE
2015 Big Data & Information Analytics  
These theme areas are certainly not inclusive, rather indicative of the wide variety to which Big Data now occupies decision analytics.  ...  areas of investigation.  ...  The support of Canada's Natural Sciences and Engineering Research Council (NSERC) and the Ontario Centres of Excellence is gratefully 70 NICK CERCONE, F'IEEE acknowledged for their encouragement and funding  ... 
doi:10.3934/bdia.2016.1.31 fatcat:wtdsmvgvvrfbjjui3v2cc56gbm
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