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 latest developments, new ideas, original research results and practical development experiences from all KDD related areas including data mining, statistical and symbolic machine learning, databases, knowledge acquisition and automatic scientific discovery, data visualization, and knowledge-based systems.
Each year the Steering Committee presents two special awards - The Most Influential Paper award (published 10 years ago) and the Most Distinguished Contribution award. The conference Program Committee also presents the best paper awards and the best student paper awards.
University of Technology Sydney, Australia
University of Auckland, New Zealand
All papers published in the proceedings are peer reviewed by a committee of international researchers in data mining, often with an acceptance rate of less than 30%. The proceedings of each PAKDD conference are published by Springer-Verlag as part of the Lecture Notes in Artificial Intelligence series.