A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Filters
The human is the loop: new directions for visual analytics
2014
Journal of Intelligent Information Systems
Preserved Fulltext
We argue for a shift from a 'human in the loop' philosophy for visual analytics to a 'human is the loop' viewpoint, where the focus is on recognizing analysts' work processes, and seamlessly fitting analytics ...
Visual analytics is the science of marrying interactive visualizations and analytic algorithms to support exploratory knowledge discovery in large datasets. ...
Acknowledgements This work is supported in part by the Institute for Critical Technology and Applied Science, Virginia Tech, and the US National Science Foundation through grant CCF-0937133. ...
doi:10.1007/s10844-014-0304-9
fatcat:mnq2g4zq6ve77cmuyq42mgb7zm
Information retrieval failure analysis: Visual analytics as a support for interactive "what-if" investigation
2012
2012 IEEE Conference on Visual Analytics Science and Technology (VAST)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This poster provides an analytical model for examining performances of IR systems, based on the discounted cumulative gain family of metrics, and visualization for interacting and exploring the performances ...
Moreover, we propose machine learning approach to learn the ranking model of the examined system in order to be able to conduct a "what-if" analysis and visually explore what can happen if you adopt a ...
The goal of this work is to exploit a visual analytics approach to design a methodology and a prototype tool which support IR researchers and developers in conducting experimental evaluation and improving ...
doi:10.1109/vast.2012.6400551
dblp:conf/ieeevast/AngeliniFGSS12
fatcat:t6gfvid36zdpxhn4et42oadnyq
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization
2013
IEEE Transactions on Visualization and Computer Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
To tackle this problem, we propose a reliable and flexible visual analytics system for topic modeling called UTOPIAN (User-driven Topic modeling based on Interactive Nonnegative Matrix Factorization). ...
Given a scatter plot visualization generated by the modified t-SNE, UTOPIAN provides various interaction capabilities: (1) topic merging, (2) document-induced topic creation, (3) topic splitting, and ( ...
Finally, we would like to thank Juwon Drake and Jaewon Drake for their significant help in improving the manuscript and the video material. ...
doi:10.1109/tvcg.2013.212
pmid:24051765
fatcat:sm572tmocrf4zkplfyvnqrrspq
Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw
2013
IEEE Transactions on Visualization and Computer Graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Taking a visual analytics approach, we integrate multiple text analysis algorithms with a suite of interactive visualizations in order to provide a flexible and powerful environment that allows analysts ...
Finally, we provide lessons learned toward the design and implementation of visual analytics systems for document exploration and understanding. ...
We take a different approach for the cluster summarization algorithm. ...
doi:10.1109/tvcg.2012.324
pmid:23267206
fatcat:hjhelczb2bektfft4q4azva6b4
A Multi-scale Visual Analytics Approach for Exploring Biomedical Knowledge
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2109.06828v1 fatcat:vdh5whhn35ehrju6oaaxi2hsky
This paper describes an ongoing multi-scale visual analytics approach for exploring and analyzing biomedical knowledge at scale.We utilize global and local views, hierarchical and flow-based graph layouts ...
Early interactions with domain experts support our approach for use cases with graphs with over 40,000 nodes and 350,000 edges. ...
While the skeleton and core components of our approach are in place, we continue to refine the visualization, interaction, and analytic design for both spaces with domain experts. ...
arXiv:2109.06828v2
fatcat:b6ej4vtx3fgzhpujpks56j5mwe
Graph Analytics-Lessons Learned and Challenges Ahead
2011
IEEE Computer Graphics and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The four applications use graph analytics differently and use nonstandard layout paradigms or adjust existing layout approaches to a specific domain. ...
grand challenges for future research. ...
Visual analytics has been called "the science of analytical reasoning facilitated by interactive visual interfaces." 6 Graph analytics is a transdisciplinary R&D area, involving information retrieval ...
doi:10.1109/mcg.2011.72
pmid:24808188
fatcat:d5juwfjrwjchroo57r5n5efd6a
Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering
2016
Synthesis Lectures on Visualization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
User interaction in visual analytic systems is critical to enabling visual data exploration. ...
Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. ...
Chapter 7
Conclusion Semantic interaction provides visual analytics with a new approach for user interaction in visual analytic applications. ...
doi:10.2200/s00730ed1v01y201608vis007
fatcat:agf3nmicbveftgdixq6vjblj6e
Observation-level interaction with statistical models for visual analytics
2011
2011 IEEE Conference on Visual Analytics Science and Technology (VAST)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Further, we present use cases for GTM, MDS, and PPCA, illustrating how observation level interaction can be incorporated into visual analytic tools. ...
In visual analytics, sensemaking is facilitated through interactive visual exploration of data. ...
INTRODUCTION Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces" [1] . ...
doi:10.1109/vast.2011.6102449
dblp:conf/ieeevast/EndertHMHLN11
fatcat:655p7k7m75epzb7zfnv5cwoaky
Scalable Visual Analytics of Massive Textual Datasets
2007
2007 IEEE International Parallel and Distributed Processing Symposium
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
This approach enables interactive analysis of large datasets beyond capabilities of existing state-of-the art 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. ...
Other research activities in visual analytics have attempted to address the issue of scale from a visual interaction approach, using a simple or predetermined method or taxonomy for data classification ...
doi:10.1109/ipdps.2007.370232
dblp:conf/ipps/KrishnanBCCN07
fatcat:tkcnjcravza5fm4r2awbn3wcqi
Visual Analysis and Knowledge Discovery for Text
[chapter]
2013
Large-Scale Data Analytics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Providing means for effectively accessing and exploring large textual data sets is a problem attracting the attention of text mining and information visualization experts alike. ...
This chapter provides an overview of data visualization methods for gaining insight into large, heterogeneous, dynamic textual data sets. ...
Especially for large text repositories, Visual Analytics is a promising approach. ...
doi:10.1007/978-1-4614-9242-9_7
fatcat:5ti6ubvuj5d5dhfjg6eyiyld6m
The Scalable Reasoning System: Lightweight visualization for distributed analytics
2008
2008 IEEE Symposium on Visual Analytics Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
SRS represents a 'lightweight' approach to visual analytics whereby thin client analytic applications can be rapidly deployed in a platform-agnostic fashion. ...
The service-oriented analytic framework that underlies SRS provides a platform for deploying pervasive visual analytic environments across an enterprise. ...
Acknowledgements This work was supported by the National Visualization and Analytics Center (NVAC), a US Department of Homeland Security program operated by the Pacific Northwest National Laboratory. ...
doi:10.1109/vast.2008.4677366
dblp:conf/ieeevast/PikeBBBFMRRY08
fatcat:y2luznfq3jgy7ofpglu66eftri
Scalable visual reasoning: Supporting collaboration through distributed analysis
2007
2007 International Symposium on Collaborative Technologies and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
We present a visualization environment called the Scalable Reasoning System (SRS) that provides a suite of tools for the collection, analysis, and dissemination of reasoning products. ...
Reasoning structures composed of these artifacts can be shared across platforms while maintaining references to the analytic activity (such as interactive visualization) that produced them. ...
In a cluster visualization, a user might drill-down to identify a collection of key documents, and then use those documents as evidence to underlie a developing hypothesis. ...
doi:10.1109/cts.2007.4621734
dblp:conf/cts/PikeMBRBY07
fatcat:eolt4vtwsves5dnf7ixsyr75vi
Interaction Taxonomy for Tracking of User Actions in Visual Analytics Applications
[chapter]
2013
Handbook of Human Centric Visualization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
At present, however, only separate taxonomies for interaction techniques exist in these three fields. Each taxonomy covers only a part of the actions undertaken in Visual Analytics. ...
This analysis is often supported by interactive Visual Analytics tools that combine automatic analysis with interactive visualization. ...
Acknowledgements The authors would like to thank DFG for the financial support within SPP Scalable Visual Analytics Programme (SPP 1335). ...
doi:10.1007/978-1-4614-7485-2_26
fatcat:l53ubtdsirhj5js4zz7ckepy3a
The Scalable Reasoning System: Lightweight Visualization for Distributed Analytics
2009
Information Visualization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
SRS represents a 'lightweight' approach to visual analytics whereby thin client analytic applications can be rapidly deployed in a platform-agnostic fashion. ...
The service-oriented analytic framework that underlies SRS provides a platform for deploying pervasive visual analytic environments across an enterprise. ...
Acknowledgements This work was supported by the National Visualization and Analytics Center (NVAC), a US Department of Homeland Security program operated by the Pacific Northwest National Laboratory. ...
doi:10.1057/ivs.2008.33
fatcat:ioll4hejvjcrtbghcdatumac64
A visual analytics approach to model learning
2010
2010 IEEE Symposium on Visual Analytics Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Users may then tune the weights of the feature vector components to improve the segmentation, which is visualized as a better separation of the clusters. ...
It so allows users to visually analyze data at a higher, more abstract level, improving scalability. ...
We also thank all reviewers for their useful suggestions. ...
doi:10.1109/vast.2010.5652484
dblp:conf/ieeevast/GargRM10
fatcat:mib6nxejjrb6nonubyifpyccga
« Previous
Showing results 1 — 15 out of 78,290 results