PAKDD 2013 - The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining

The Pacific-Asia Conference in Knowledge Discovery and Data Mining is the largest conference of its field in the pacific region attracting over 300 delegates from Canada and the US across to Australia and New Zealand and including all Asian countries with high participation from Japan, Korea, China, and Singapore. It also attacks many participants from Europe.
Knowledge Discovery and Data Mining has become a crucial and central field providing tools and techniques for business intelligence, fraud and tax evasion detection, planing and decision making and all sorts of human activities that seek to analyze data and information from the vast data sources are collected today through pervasive means of digitalization.
Prof. Vlad Estivill-Castro (Griffith University) as local organizing chair and Prof Longbing Cao (Conference Chair) had successfully attracted the 17th edition of this annual conference to the Gold Coast.
The conference has tentative dates the 2nd of April to the 4th of April, which is just after Easter and coincides with the Victoria School Holidays and Queensland School Holidays. The 2nd of April is a school holiday in New Zealand. This enables far more traveling and we expect to organize the vent with a family-orientation including a social program that caters excursions nd activities for families before and after the conference.
The conference will also offer a unique interaction and synergy between industry and academia. With the collaboration of Dr.Graham Williams the conference will include the 2nd International Colloquium on Data Sciences, Knowledge Discovery and Business Intelligence, and event itself that attracts major player from industry including Teradata, SAS, The Australian Taxation Office.
The conference brings 3 keynotes speakers, and we plan for one industry-oriented keynote lecture while 2 will be of a research focus. Other activities within the conference that increase their attractiveness are Tutorials and Workshops for dedicated topics. However, we will also run a Special Topics School that will provide education and training in advance software packages, data mining technologies, business analytics strategies. Therefore, the conference will be extremely attractive to industry player using massive data sets as well as researchers and scholars debating the latest advances in the field.
The conference seeks sponsorship at all levels that can enable the social events and keynote speakers. Sponsors can provide donations in cash or in kind. Contributions in kind could include sponsoring the cocktail of industry-academia interaction, sponsoring an invited speaker, sponsoring the conference materials/bag/souvenir, for example.
The conference also seeks to expand its partnership with academic and industrial organizations as well as with societies in the Information and Communication Technologies to expand and support the activities of the conference as well as to contribute to the attractiveness of the program and the publicity of the event.
The conference calls for research papers reporting original investigation results and industrial papers reporting real data mining applications and system development experience.
The conference will confer a Best Paper Award to the best full paper, and the Best Student Papers from amongst the student submissions. The proceedings of the conference will be published by Springer as a volume of the LNAI series.
PAKDD2013 will be held in Gold Coast, one of the most attractive cities in Australia.