Call for Tutorials

We invite proposals for half-day (3-4 hours) or full-day (5-8 hours) tutorials from active researchers in both academia and industry who are experienced and engaging presenters. Ideally, a tutorial will cover the state-of-the-art research, development, and applications in a specific data mining domain, to stimulate and facilitate future work. Tutorials on interdisciplinary areas, novel and fast growing directions, and significant applications are highly encouraged. A tutorial proposal should include the following and should not exceed 5 pages excluding references:

  • Title
  • Abstract
  • Tutorial Outline
  • Presenters’ name, affiliation, address, email, phone
  • A biographical sketch of the presenter(s)
  • References

Outline including a short summary of every section

  • Background
  • 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.

Important Dates

  • Proposal due: February 20, 2023
  • Tutorial notification: April 5, 2023
  • Submission of tutorial notes: April 27, 2023

*All deadlines are 23:59 Pacific Standard Time (PST)

Paper Submission

Please submit your proposals in PDF format to the link below:

Tutorial Proposal Online Submission Link

Proposals will be evaluated by the tutorial co-chairs based on merit and relevance. The tutorial presenters will be required to provide comprehensive tutorial notes (printable slides) prior to the event, which will be published on the PAKDD website and made available to conference attendees free of charge. Tutorials are expected to be scheduled on the day before the main PAKDD conference. All presenters named in the proposal MUST attend to present the tutorial; otherwise, the tutorial may be canceled. For each accepted tutorial proposal, the PAKDD organizing committee will provide support for attendance in the form of ONE full registration to the conference.

Contact Information

Tutorial Co-Chairs of PAKDD2023
Koji Maruhashi, Bin Cui