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.

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.