[Infovis] CFP: ACM TIST Special Issue on Visual Analytics

[Yingcai Wu]

Sorry if you have received multiple copies of this email.



===========================================================================

                                              Call for Papers



            ACM Transactions on Intelligent Systems and Technology

                                             Special Issue on

     *Visual Analytics: Towards Effective Human-Machine Intelligence*

===========================================================================

     *Full Paper Submission Deadline: August 31, 2017*

     PDF version:

     http://tist.acm.org/CFPs/CFP-TIST-VA.pdf

===========================================================================



We call for novel and high-quality submissions on visualization and visual
analytics for a special issue of ACM Transactions on Intelligent Systems
and Technology (ACM TIST). Visualization turns data into intuitive visual
representations and allows people to quickly see, interact, and analyze the
patterns in the data. As an old saying goes “a picture worth a thousand
words”, visualization can significantly improve the abilities of people to
understand and interpret the data and analysis results. Visual analytics is
an emerging research area that evolves from visualization, which aims to
support “analytical reasoning facilitated by interactive visual
interfaces”. Visual analytics can enable human-machine intelligence that
effectively integrates human knowledge and expertise into powerful data
mining algorithms through highly interactive visualizations. Visualization
and visual analytics have been used in many applications to tackle various
important problems in the big data era, such as tackling urban issues like
traffic jam and air pollution, making better diagnostic and treatment
decisions, preventing threats and fraud in business, optimizing rescue
efforts, forecasting severe weather conditions, and achieving situational
awareness during crisis.

This special issue will introduce the readership to the latest innovations
and provide a spotlight on emerging and promising research topics in visual
analytics and visualization for highly effective human-machine
intelligence. We invite high quality submissions aiming to enable human and
machine to work a team to solve practical problems via intelligent
visualization systems and technologies. Topics of interest include but not
limited to:



Exploring Big Data using Visual Analytics

•            Visual urban analytics

•            Visual analytics of social media data

•            Visual text analytics

•            Visual analytics of healthcare data

•            Visual analytics of multimedia data

•            Visual analytics for bioinformatics

•            Visual analytics of business data

•            Visualization and visual analytics for humanities

•            Visual analytics of user behavior data

•            Visual analytics of engineering data

•            Visual representations and interaction techniques for visual
analytics

•            Data management and knowledge representation for visual
analytics

•            Analytical reasoning and collaborative analytics through
visualization

•            Taxonomies and models



Understanding Human Factors in Interactive Machine Learning

•            User studies for identifying the role of humans in interactive
machine learning

•            Evaluating and understanding the difficulties that users have
with machine learning

•            User studies of comparing interactive machine learning tools
and systems

•            Case studies of the use of a machine learning tool for solving
important problems



Visualizing and Diagnosing Machine Learning

•            Visual analytics and visualization for explaining machine
learning models

•            Visual analytics and visualization for diagnosing machine
learning models

•            Visual analytics and visualization for better analysis of deep
learning



Submissions

Online Submission (available in July 1, 2017):
http://mc.manuscriptcentral.com/tist (please select “Special Issue: Visual
Analytics” as the manuscript type)

Details of the journal and manuscript preparation are available on the
website: http://tist.acm.org/

Each paper will be peer-reviewed by at least three reviewers.



Important Dates

•            Full Paper Submission Deadline: August 31, 2017

•            Review Notification: November 31, 2017

•            Final Manuscript: January 31, 2018

•            Publication Date:  2018



Guest Editors

•            Yingcai Wu, Zhejiang University

•            Nan Cao, Tongji University

•            David Gotz, University of North Carolina at Chapel Hill

•            Steffen Koch, University of Stuttgart



================================================================================

Regards,
-- 
Yingcai Wu    Prof.  Ph.D.
**************************************************
State Key Lab of CAD&CG
Mengminwei Building
Zhejiang University, Hangzhou 310058, China
Web: www.ycwu.org

**************************************************