Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008)

Abstract

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) has been held every year since 1997. PAKDD 2008, the 12th in the series, was held in Osaka, Japan on May 20–23, 2008. PAKDD is a leading international conference in the area of data mining. 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, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction and knowledge-based systems. We received a total of 312 research papers from34 countries and regions inAsia, Australia, North America, South America, Europe and Africa. Only approximately 11.9% of the these submissions were accepted as long papers, 12.8% of them were accepted as regular papers, and 11.5% of them were accepted as short papers upon rigorous reviews by two or three reviewers, discussions by the reviewers under the supervision of an area chair and judgment by the Program Committee Co-chairs. The highest rated papers in the review process were further evaluated by the Program Committee Co-chairs, and two papers were selected for the Best Paper Award and the Best Paper Runner-up Award. In addition to these award-winning papers, two outstanding papers were also nominated for this special issue. The authors of the four selected papers were asked to substantially extend the contents of their papers after the