[image 02714] 論文募集：PacificVAST 2018 (2018.4.10 @ Kobe University)

[itot ＠ is.ocha.ac.jp]

image-MLの皆様（重複して受け取られました場合はお許しください）

お茶の水女子大学の伊藤です．お世話になっております．
慶應義塾大学の藤代先生の代理で投稿させて頂きます．
本MLを利用させていただき，来年2018年4月10日に神戸大学にて開催されます
国際ワークショップPacificVAST2018の論文募集を送らせていただきます．

この国際ワークショップは，コンピュータ可視化分野の国際会議IEEE PacificVisの一部と
して2013年からスタートし，毎年この分野を代表する研究者の招待講演でプログラムを
構成してきましたが，来年からは一般に論文を募集することになりました．採択された
論文はすべてElsevier Scienceの新しい雑誌Journal of Visual Inforrmaticsの特集号に収蔵
されます．

投稿締切りは本年12月11日です．皆様からのご投稿をお待ちしております．

藤代
-- 
Issei FUJISHIRO, Dr. Sc.
Professor of Information and Computer Science,
Faculty of Science and Technology
Chief Professor of Center for Information and Computer Science,
Graduate School of Science and Technology
Keio University
3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan
Phone&FAX：+81-45-566-1752
E-mail：fuji ＠ ics.keio.ac.jp
URL：http://fj.ics.keio.ac.jp/
<http://www.fj.ics.keio.ac.jp/>

======

<http://www.fj.ics.keio.ac.jp/>
PACIFICVAST 2018 (April 10, 2018, Kobe University) CALL FOR PAPERS

<http://www.fj.ics.keio.ac.jp/>
<http://www.fj.ics.keio.ac.jp/>http://itolab.is.ocha.ac.jp/
pvis2018/#PacificVAST


PacificVAST 2018 is an international workshop collocated with PacificVis 2018.
The workshop is held on April 10th 2018, the first day of the symposium.

In PacificVAST, participants share their state-of-the-art research results and
fresh perspectives on visual analytics. Visual analytics is a discipline
concerned with science and technology for analytical reasoning supported by
interactive visual interfaces. Most papers presented in PacificVAST are
distinguished from traditional visualization papers in that they harmoniously
integrate interactive visual interfaces with analytical techniques from statistics,
data mining, or machine learning fields to help analyze overwhelming amounts of
disparate, conflicting, and dynamic information.

All aspects of visual analytics are covered in PacificVAST including,
but not limited to the following topics:

The science of analytical reasoning

  - Visually enabled tools to support (collaborative) analytic reasoning
    about complex and dynamic problems Scalable visual analytic techniques

Visual representations and interaction techniques

    - Theories and techniques of visual representations based on cognitive
      and perceptual principles that can be deployed through engineered,
      reusable components
    - Novel visual paradigms that support the (collaborative) analytical
      reasoning process
    - Theories and techniques of user interactions that support the analytical
      reasoning process

Data representations, transformations, and integrations

    - Theory and practice for transforming data into new scalable representations
      that faithfully represent the content of the underlying data
    - Methods to synthesize information of different types and from different
      sources into a unified data representation
    - Methods and principles for representing data quality, reliability, and
      certainty measures throughout the data transformation and analysis process

Techniques and systems for production, presentation, and dissemination of analysis
results

    - Methodology and tools that enable the capture of the analytic assessment,
      decision recommendations, and first responder actions into information packages
    - Technologies and systems that enable analysts to communicate what they know
      through the use of appropriate visual metaphor and accepted principles of
      reasoning and graphic representation
    - Techniques and tools that enable effective use of limited,mobile forms of
      technologies to support situation assessment by first responders

Methodologies and benchmarks for evaluating visual analytics techniques and
systems

    - Infrastructure to facilitate evaluation of new visual analytics technologies
    - Ecologically valid evaluation methods for visual analytics tools


For fostering a stronger visual analytics community in the Asia-Pacific region,
PacificVAST starts a new publishing model this year: ALL accepted papers will be
published in a special issue of the Elsevier Journal of Visual Informatics
on the day of the workshop.

Important dates

  --------------------------------- ---------------------------
  Deadline for submission           December 11th (Mon), 2017
  First round notification          January 19th (Fri), 2018
  Deadline for Revision             February 9th (Fri), 2018
  Second round notification         February 25th (Mon), 2018
  Deadline for camera ready draft   March 12th (Mon), 2018
  --------------------------------- ---------------------------

Deadlines are due at 23:59 Pacific Time (PST).

Submission guidelines

Author guidelines are available at the link below.
https://www.elsevier.com/journals/visual-informatics/
2468-502x/guide-for-authors

For those who want to submit their paper: Send us at
pacific_vast (at) pvis.org, a simple e-mail containing the title,
the list of author(s), abstract, and the name and e-mail address of
corresponding
author. Upon receipt of your request, we will send back a link for the
submission
to the special issue.

WORKSHOP CHAIRS
-   Issei FUJISHIRO (Keio University, Associate Editor for JVI)
-   Jinwook SEO (Seoul National University)