Call For Tutorial Proposals
PAKDD2013: The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Gold Coast, Australia
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of data mining and knowledge discovery (KDD). It provides an international forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, aritificial intelligence, databases, statistics, knowledge engineering, visualization, and decision-making systems.
We invite proposals for half-day tutorials from active researchers and experienced tutors. Ideally, a tutorial will cover the state-of-the-art research, development and applications in a specific data mining direction, and stimulate and facilitate future work. Tutorials on interdisciplinary directions, novel and fast growing directions, and significant applications are highly encouraged.
A tutorial proposal should include the following:
- Outline including a short summary of every section
- Specific goals and objectives
- Expected background of the audience
- A list of up to 20 most important references that will be covered in the tutorial
- A biographical sketch of the presenter(s)
- Audio Visual equipment needed for the presentation
- Presenter's name, affiliation, address, email, phone, and fax.
Important dates for the tutorials:
Tutorial proposal due: Oct. 1 (Mon). 2012
Tutorial notification: Nov.1 (Thu). 2012
Please submit your proposals via email to both Tutorial Co-Chairs.
Proposals will be evaluated by a committee and voted upon based on merit and relevance. The tutorial presenters will be required to provide comprehensive tutorial notes (printable slides) prior to the event, which will then be published on the PAKDD web site and thus be made available to conference attendees free of charge.
Tutorials will be presented during the main PAKDD conference as parallel sessions.
School of Knowledge Science
Japan Advanced Institute of Science and Technology, Japan
School of Engineering and Computer Science
Victoria University of Wellington, New Zealand