|Submission of tutorial notes|| |
Coming to its 25th edition in 2021, the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. 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, decision-making systems, and the emerging applications.
PAKDD 2021 will be held in May 11-14, 2021, Delhi, India. We invite proposals for half-day (3-4 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 4 pages excluding references:
Please submit your proposals in PDF format to the link below:
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 will be mostly likely to be scheduled on the day before the main PAKDD conference. All presenters named in the proposal MUST attend to present the tutorial or the session may be cancelled. For each accepted tutorial proposal the PAKDD organizing committee will provide support for attendance in the form of ONE full registration to the conference.