PacificVAST (Visual Analytics Science & Technology) 2013


Visual Analytics is the science of analytical reasoning supported by interactive visual techniques, which requires interdisciplinary science integrating techniques from visualization and computer graphics, statistics and mathematics, data management and knowledge representation, data analysis and machine learning, cognitive and perceptual sciences.

PacificVAST 2013 will be held on Feb 26, 2013 in Sydney, as a workshop of the annual PacificVis 2013 Conference.

The main goal of the workshop is to promote visual analytics research in Asia-Pacific region for solving problems arising in a variety of application domains such as business, science, engineering, biology, medicine and security. In particular, special emphasis on “Big Data” will be addressed.

The PacificVAST2013 program will consist of a series of invited presentations.


Session I Chair

Seok-Hee Hong

Title: Scalability in Visual Analytics
Abstract:This talk will give an overview of recent visual analytics projects at the University of Stuttgart with a special emphasis on scalability in its various dimensions. Whether we deal with large amounts of social media messages, many intellectual property documents, numerous trajectories of individual traffic, a complex local transport network, or high-dimensional implicit configuration spaces in production engineering we always encounter scalability issues which have to be addressed in order to derive insight for real world scenarios.
Title: Condensed Views for Long-Duration Visualization Provenance
Abstract: In order to totally support repeated visual analysis processes, any environment is required to record and manage the provenance information. However, too much provenance information obtained from long- duration visual analysis possibly makes it difficult for the users to find primary analysis results at a glance, and to reutilize the experiences for further analysis. In this talk, we present our recent attempts to improve the scalability of managing the provenance information through the proposal of two algorithms to provide condensed views of the version trees.
Title: Creating Functional Interactive Maps Through Smart Aggregation
Abstract: A map is a visual symbolic representation depicting spatial-temporal relationships between elements. In this talk, we show a few examples of constructing maps through aggregation of individual event data, to enable interactive analysis of the region. We first demonstrate a system call ThemeMaps to aggregate Weibo information relevant to a geospatial event to an interactive online map to better support decision-making in emergency management and other analysis tasks. Weibo (the counterpart of Twitter in China) provides a tremendous real-time repository of user-generated content about concurrent events. Our system addresses the issue of insufficient explicit geographic information embedded in Weibo by combining implicit geographical information in online messages with user interfaces enabling crowd sourcing. As an online-map-based system, ThemeMaps enable users to map Weibo to their geographic locations based on themes (such as traffic jam, natural disaster) and provide the public with interactive visualization of the aggregated information about the themes. Other examples, such as city trajectory maps, will also be discussed in the talk.
Title:Unlocking the Complexity of Genomic and Biological Data
Abstract: This talk presents methodologies and techniques for extracting knowledge from huge multivariate medical datasets and maps the data to an appropriate graphical representation. We aim to synergise the powerful visual analytics, including automated data analysis, interactive visualisation, and of domain specialization in the medical field for the appropriate modes of interaction and supporting visual interfaces. A comprehensive prototype has been developed to support the visual analytics process. The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views and gene comparison. We demonstrate our approach with the medical scientists on case studies of cancer patients on how they use the tool to confirm existing hypotheses and to discover new scientific insights.

Session II Chair

Peter Eades

Title: Visual Analytics for Massive Complex Networks
Abstract: Recent technological advances have led to massive complex network models in many domains, including social networks, biological networks and webgraphs. Visualisation can be an effective analysis tool for such networks. Good visualisation reveals the hidden structure of the networks and amplifies human understanding, thus leading to new insights, new findings and new hypothesis. However, visualisation of massive complex networks is very challenging due to scalability and complexity.
This talk will address the challenging issues for visual analysis of massive complex networks, and review latest methods for effective and efficient visual analytics of such networks. In particular, integration of good analysis method with good visualisation method will be the key approach to solve the research challenge.
Title: Analytics and applications using multiple category graph visualization
Abstract: We have presented a technique for multiple category graph visualization at PacificVis 2009. Supposing one or more categories are assigned to nodes of the given graphs, the technique adequately places clusters of the nodes onto the visualization space. This talk introduces several case studies on analytics and applications using the technique, including Web access pattern analysis, gene network observation, and photograph browsing.
Title: Visualizing Biological Data for Research and for Outreach
Abstract: Experimental methods in biological research are delivering data of rapidly increasing volume and complexity. However, many current methods and tools used to visualize and analyse these data are inadequate, and urgent improvements are needed if life scientists are to gain insight from this data deluge, rather than being overwhelmed. I will discuss a recent switch in focus away from algorithmic bioinformatics towards data visualization and usability principles, illustrating how such a focus can have significant impact by drawing on examples from my work in macromolecular structures, systems biology, and literature mining (http://odonoghuelab.org/). I will also discuss an international community initiative that brings visualization experts together with computational biologists, bioinformatics, graphic designers, animators, and medical illustrators, and aims to raise the global standard of bioinformatics software (http://vizbi.org/).
Title:Towards Personal Visual Analytics
Abstract: Modern society demands that people manage, communicate, and interact with digital information at an ever-increasing pace. Even though most people want to be informed, all this information is frequently experienced as stress. It is not the information itself that is the problem, but the manner in which we are bombarded with information in forms that are often hard to interpret. I will raise three points about why the time has come for us to consider applying the ideas in visual analytics to our personal data. In this light I will discuss the interplay between small data and big data. Personal visual analytics offers new research challenges and the potential for empowering ourselves in our everyday lives.
Title: Using Divide-and-Recombine in Visual Analytics: a case study on user behavior calling records classification
Abstract:Divide-and-recombine is a promising solution to handle large-scale datasets. The key points of its application is the division of a large-scale dataset and the recombination the analysis results. We have applied this idea for classifying users in a mobile calling dataset. It contains 360 K users, their tags and their 70 M calling records in one month. The challenge is to classify these users into usable groups. We applied the divide-and-recombine scheme and got some results.

News

  • Feb 24th 2013. A PDF version of program is now available !
  • Feb 24th 2013. Final Program is now available!
  • Feb 24th 2013. The conference banquet is organized at Zilver Restaurant. Maps and details can be found from here.
  • Feb 24th 2013. PacificVAST final program is available at here.
  • Feb 24th 2013. The second keynote speaker is changed to Prof. Charles (Chuck) Hansen .
  • Feb 8th 2013. Tutorial Program is now available!
  • Feb 2nd 2013. Early bird registration is extended to February 5th (Midnight Sydney Time UTC+10).
  • Jan 28th 2013. Copyright form - All authors are required to submit a copy right form for their papers to be published and presented before the conference.
  • Dec 22nd 2012. Registration is now open.
  • Dec 10th 2012. New Workshop/Tutorial day added at 26th February

Keynote Speakers

Giuseppe Di Battista

Department of Engineering,
The Universitŕ Roma Tre, Italy


Charles (Chuck) Hansen

School of Computing,
University of Utah, USA


Important Dates

Paper submission September 26, 2012, 11:59pm (PDT)
Paper notification November 21, 2012
Camera ready papers due December 7, 2012
Poster submission December 17, 2012, 11:59pm (PDT)
Poster notification January 8, 2013
Camera ready poster due January 21, 2013
Workshop/Tutorial February 26
Symposium February 27-March 1