PAKDD has been recognized as a major international conference in the areas of
data mining (DM) and knowledge discovery in databases (KDD). 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, machine learning, artificial intelligence
and pattern recognition, data warehousing and databases, statistics, knowledge
engineering, behavioral sciences, visualization, and emerging areas such as social
network analysis.
The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD 2011) was held in Shenzhen, China, during May 24–27, 2011. PAKDD
2011 introduced a double-blind review process. It received 331 submissions after
checking for validity. Submissions were from 45 countries and regions, which
shows a significant improvement in internationalization than PAKDD 2010 (34
countries and regions). All papers were assigned to at least four Program Committee
members. Most papers received more than three review reports. As a
result of the deliberation process, only 90 papers were accepted, with 32 papers
(9.7%) for long presentation and 58 (17.5%) for short presentation.
The PAKDD 2011 conference program also included five workshops: the
Workshop on Behavior Informatics (BI 2011),Workshop on Advances and Issues
in Traditional Chinese Medicine Clinical Data Mining (AI-TCM), Quality Issues,
Measures of Interestingness and Evaluation of Data Mining Models (QIMIE
2011), Biologically Inspired Techniques for Data Mining (BDM 2011), andWorkshop
on Data Mining for Healthcare Management (DMHM 2011). PAKDD 2011
also featured talks by three distinguished invited speakers, six tutorials, and a
Doctoral Symposium on Data Mining.
The conference would not have been successful without the support of the
Program Committee members (203), external reviewers (168), Organizing Committee
members, invited speakers, authors, tutorial presenters, workshop organizers,
reviewers, authors and the conference attendees. We highly appreciate
the conscientious reviews provided by the Program Committee members and
external reviewers. We are indebted to the members of the PAKDD Steering
Committee for their invaluable suggestions and support throughout the organization
process. Our special thanks go to the local arrangements team and
volunteers. We would also like to thank all those who contributed to the success
of PAKDD 2011 but whose names cannot be listed.
