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IEEE ICDM Workshop on Visual Analytics and Knowledge Discovery — VAKD '10
held in conjunction with
ICDM 2010: The 10th IEEE International Conference on Data Mining
December 14-17, 2010, Sydney, Australia
Preliminary Workshop Program
Session 1: Welcome and Invited Talk
9:00 AM Welcome
9:10 AM Invited Talk: Peter Eades "Its hard to draw a graph"
Session 2: Oral Presentations
10:30 AM Christin Seifert and Michael Granitzer, User-based active learning
10:55 AM Kai Puolamaki, Panagiotis Papapetrou, and Jefrey Lijffijt, Visually Controllable Data Mining Methods
11:20 AM Scott Spangler, Ying Chen, Jeffrey Kreulen, Stephen Boyer, Thomas Griffin, Alfredo Alba, Linda Kato, Ana Lelescu, and Su Yan, SIMPLE: Interactive Analytics on Patent Data
11:45 AM Martin Hahmann, Dirk Habich, and Wolfgang Lehner, Evolving Ensemble-Clustering to a Feedback-Driven Process
Lunch Break
Session 3: Invited Talk and Challenge Panel
1:30 PM Invited Talk: Bart Goethals "Visual Pattern Mining"
2:20 PM Hanisha Veeramachaneni, Soujanya Vadapalli, and Kamalakar Karlapalem, BODY - Buckets Of Disease sYmptoms for Disease Outbreak Analysis
2:45 PM Rafael Guimarães, Nikolas Carneiro, Bianchi Meiguins, and Aruanda Meiguins, Analysing large-scale, time-oriented datasets with PRISMA
3:10 PM Challenge Panel Preferably folks who has seen the real world
Session 4: Oral Presentation and Collaboration Panel
4:00 PM Martin Amèlie, Monique Noirhomme-Fraiture, Quang Vinh Nguyen, and Simeon Simoff, A Visual Analytics Tool for Analysing Microarray Data
4:25 PM Eniko Szekely, Eric Bruno, and Stephane Marchand-Maillet, High-dimensional multimodal distribution embedding
4:50 PM Panel Keynote: Joseph Kielman "Research Directions and Collaborations in Visual Analytics"
Session 5: Collaboration Panel Research Directions in the interplay of Knowledge Discovery and Interactive Visualization
5:15 PM
Session 6: Closing Session
5:55 PM Wrap-Up
5:55 PM End of Workshop
7.30 PM Dinner: Future of VAKD
Workshop Description

Visual Analytics is a relatively new multidisciplinary field that combines various research areas including knowledge discovery, data analysis, visualization, human-computer interaction, data management, geo-spatial and temporal data processing and statistics. The goal of Visual Analytics is to derive insight from massive, dynamic, ambiguous, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate the assessment effectively for action. An integration of the increasing processing power of computers with the efficient pattern recognition abilities and domain knowledge of human analysts is a challenging and promising road in dealing with large amounts of complex data. It will be also a major driving force for solutions for information overload in many research and commercial areas.

The objective of this workshop is to bring together researchers and practitioners that are developing and applying the state-of-the-art in visual analytics; to provide a forum for presentation and discussion of the newest both mature and greenhouse ideas, research and developments in visual analytics and supporting disciplines, and to identify the short- and long-term research directions in the field and preferences of the potential end users.

We solicit papers that will introduce new research results, present forward-looking positional statements, or define relevant research challenges.

Topics of interest include, but are not limited to:

Important Dates
9 August Paper/challenge submissions
20 September 2010 Notifications of acceptance
11 October 2010 Camera ready papers
14 December 2010 Workshop in Sydney, Australia
Invited Talks
We are proud to have as speaker at our workshop.

Peter Eades will give a presentation titled 'It's Hard to Draw a Graph'. It will detail methods for graph visualization, and point to problems that have not yet been solved.

Joseph Kielman will give a presentation titled 'Research Directions and Collaborations in Visual Analytics'. This will give some insight on visual analytics, based on his experience, and point out a few open research problems and possible collaborations between the visual analytics and data mining communities.

Bart Goethals will give a presentation titled 'Visual Pattern Mining'.

Visual Analytics Challenge

You are invited to work the VAST 2008-2010 challenges, and use those datasets, to illustrate your KDD/VA research. A distinct advantage to you in using these datasets is that we will be able to compare and contrast approaches taken by the Visual Analytics community with yours and examine the possibilities for synergies between the two communities. We will provide additional guidance into the adjusted tasks to make the challenge interesting to the KDD community.

We will present examples of the VAST 2008, 2009, and 2010 challenge solutions at the workshop, as a springboard to follow-on discussion.

Paper Submission

Submissions have to be 10 pages or less in IEEE 2-column format submitted electronically via Cyber Chair.

We strongly encourage (but do not strictly require) all contributors to use at least some of the challenge tasks described below to demonstrate the methods and concepts proposed in the contributions. This will support the discussion by making the position papers more concrete by providing a common problem for all, as well as serve as uniform benchmark data set for the workshop submissions.

In addition to original contributions we will consider papers based on recently published outstanding works, given that the original papers are adequately cited and the status is clearly stated in the contribution.

CRC versions of the papers can be submitted via


All submitted papers will be reviewed for quality and originality by the Program Committee. Based on this review, the papers will be accepted for oral and/or poster presentations, or rejected. The review process will not be double-blind (i.e., the reviewers can see your identity, you do not have to anonymize your paper).

Papers will be selected by the program committee through a peer-review process and they will be presented in oral and/or poster sessions in the workshop. Selected papers will be invited to be published in a special journal issue or proceedings after the workshop, along with the conclusions of the workshop.

Simeon Simoff
Professor of Information Technology, Head of School
School of Computing and Mathematics,
University of Western Sydney, NSW 1797
s.simoff [at]

Pak Chung Wong
Chief scientist and project manager
Pacific Northwest National Laboratory PNNL
P.O. Box 999, J4-32
Richland, WA 99352
pak.wong [at]

Mike Sips
Research Scientist
GFZ German Research Centre for Geosciences
Section 1.3, Earth System Modelling
Telegrafenberg, A20 303
14473 Potsdam
sips [at]

Arturas Mazeika
Research Scientist
Max-Planck-Institut Informatik
Department 5: Databases and Information Systems
Campus E 1 4
66123 Saarbruecken
amazeika [at]

Program Committee
VisMaster, a European FP7 Coordination Action Project focused on Visual Analytics

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