Call for Papers Deadline: Jan 8, 2007 Visual Data Analysis Workshop 2007 http://home.comcast.net/~visualdataanalysis/ Radisson University Hotel, Minneapolis, MN April 28, 2007 To be held in conjunction with Seventh 2007 SIAM International Conference on Data Mining (SDM 2007) http://www.siam.org/meetings/sdm07/ Theme Statement --------------- Human and machine information processing and pattern discovery capabilities are natural complements to one another. Traditional data analysis techniques excel at uncovering anomalous or otherwise interesting patterns in large quantities of information, reducing great volume and complexity to human scale. On the other hand, humans can easily detect many patterns that computer software cannot, and human intelligence is uniquely able to to supervise automated analysis techniques to provide context and infer more significant meaning. The largely visual orientation of the human perceptual/cognitive system suggests that visualization approaches offer the most promising avenue for coupling machine and human pattern discovery and reasoning processes. Visualization and automated data analysis technologies have largely evolved independently of one another, however. This workshop will seek to explore the intersection between these fields, towards the goal of better defining the characteristics of next-generation problem solving tools. We will encourage submissions from a diverse range of fields, including not only the data analysis and visualization communities, but also researchers in the fields of cognitive and perceptual science, knowledge management, and linguistics. Topics of interest include: --------------------------- Techniques Visual data abstraction methods Text visualization techniques Spatial metaphors for data analysis results Temporal data visualization metaphors Visual integration of results of different types Visual analysis of large graphs Visual metaphors for relational data Integrated visualization of raw data and analysis results Real-world applications and case studies Metrics and evaluation methods for visual analytics Software architectures for visual data analytics Perceptual and cognitive factors in visual data analytics Interaction paradigms and human factors Applications Homeland Security Web Data Analytics Fraud Detection Network Security and Intrusion Detection Social Networks Analysis and Link Analysis Business Intelligence Analysis Knowledge Management Bioinformatics Health Data Analysis Financial Data Analysis E-Business Qualitative Research Manufacturing and Maintenance Processes Opinion Analysis Content and Format ------------------ The workshop will be a full day. We will call for original papers from the community. Authors will make short presentations and we will allow sufficient time for discussions on related subjects. Depending on the number of quality papers accepted, we may also arrange for a keynote speaker in the field. Registration ------------ Attendees are required to register for SDM 2007 so that no separate registration is needed for this workshop. Submission Requirements ----------------------- To submit a paper, email your paper in PDF format to VisualDataAnalysis (at) comcast (dot) net. Papers should be printable on 8.5 × 11 paper only and do not exceed 12 pages in length using a 11 point font in two-column font with 1 inch margins. You will receive an acknowledgement upon receiving your submission. If you do not hear from us after one day, please contact anne.kao (at) boeing (dot) com. To guarantee consideration, manuscripts must be received by January 8, 2007. Submission of work in progress is also encouraged. Important Dates --------------- Papers Due: January 8, 2007 Notifications Sent: February 5, 2007 Camera Ready: Final Papers due to workshop: February 19, 2007 Contact information for organizers ---------------------------------- Co-chairs: Anne Kao(primary contact) Boeing Phantom Works anne.kao (at) boeing (dot) com John Risch Pacific Northwest National Laboratory john.risch (at) pnl (dot) gov Workshop contact email: VisualDataAnalysis (at) comcast (dot) net Program Committee ----------------- Mihael Ankerst (Alliance) Jianping Fan (University of North Carolina at Charlotte) Mark Greaves (Vulcan) Marko Grobelnik (J. Stefan Institute) Fred B. Holt (University of Washington) Dave Kasik (Boeing Information Technology) Daniel A. Keim (University of Konstanz) Sherry Marcus (21st Century Technololgies) Dunja Mladenic (J. Stefan Institute) Haesun Park (Georgia Institute of Technology) Simeon Simoff (University of Technology Sydney) Kirsten Whitley (DoD) Pak Chung Wong (Pacific Northwest National Laboratory) Jason Wu (Boeing Phantom Works) Please see http://home.comcast.net/~visualdataanalysis/ for the latest workshop information.
This site is generously hosted by Macrofocus GmbH, developer of TreeMap and other fine visualization tools