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, artificial intelligence, databases, statistics, knowledge engineering, visualization, and decision-making systems.
This year, PAKDD 2016 will be held in Auckland, New Zealand, a beautiful coastal city in the southwestern Pacific Ocean.
We invite proposals for half-day tutorials from active researchers in both academia and industry who are 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 and should not exceed 4 pages excluding references:
- Presenter’s name, affiliation, address, email, phone
- A biographical sketch of the presenter(s)
- Outline including a short summary of every section
- Specific goals and objectives
- Expected background of the audience
- Audio Visual equipment needed for the presentation
- A list of up to 20 most important references that will be covered in the tutorial
Proposals due: November 15, 2015
Tutorial Notification: December 20, 2015
Please submit your proposals via email to the Tutorial Chairs as provided below.
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.
Stony Brook University