The 19th Pacific-Asia Conference on

Knowledge Discovery and Data Mining

Call for tutorials

The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2015)

May 19-22, 2015, Ho Chi Minh City, Viet Nam

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.

PAKDD-2015 will be held in Ho Chi Minh City, Vietnam – a beautiful and active city in South East Asia. 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:

  • Title
  • Abstract
  • 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

Proposals due:  15 December, 2015 (extended to 5th Jan 2015)

Tutorial Notification:   31 Jan, 2015 

Please submit your proposals via email to 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.


Tutorial Chairs

Dinh Phung

Centre for Pattern Recognition and Data Analytics

Deakin University, Australia


U Kang

Korea Advances Institute of Science and Technology, Korea