Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)*

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The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one 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.

Conference History:

24th PAKDD, May 11-14, 2020, Singapore / Virtual event
(Host: Living Analytics Research Center, Singapore Management University)
Conference Workshops: First International Workshop on Literature-Based Discovery (LBD 2020); Workshop on Data Science for Fake News; Workshop on Learning Data Representation for Clustering (LDRC 2020); Ninth Workshop on Biologically Inspired Techniques for Data Mining (BDM 2020); First Pacific Asia Workshop on Game Intelligence & Informatics (GII 2020)Conference Tutorials: Deep Bayesian Learning and Mining; Deep Explanations in Machine Learning via Interpretable Visual Methods

Note: Conference sessions will go ONLINE

23rd PAKDD, April 15-18, 2019, Macau, China
(Host: University of Macau)
Conference Workshops: PAISI – The 14th Pacific Asia Workshop on Intelligence and Security Informatics; WeL – PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future; LDRC – Learning Data Representation for Clustering; BDM – The 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining; DLKT – The 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer
Conference Tutorials: Causally Regularized Machine Learning; IoT Big Data Stream Mining; Knowledge Graph Embedding and Applications; Statistical Machine Learning of Large, Sparse, and Multi-source Data; Building and Evaluating a Production-ready Recommendation System; Blockchain Data Analytics

22nd PAKDD, June 3-6, 2018, Melbourne, Australia
(Host: Deakin University)
Conference Workshops: PAISI – The 12th Pacific Asia Workshop on Intelligence and Security Informatics; BDM – The 7th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining; BDASC – Big Data Analytics for Social Computing; DaMEMO – Data Mining for Energy Modeling and Optimization; ML4Cyber – Australasian Workshop on Machine Learning for Cyber-security
Conference Tutorials: Deep Learning for Biomedical Discovery and Data Mining; Non-IID Recommender Systems in Practice with Modern AI Techniques; Relevant Structure Search in Graph Databases: Methods and Applications

21st PAKDD 2017, 23-26 May, 2017, Jeju, South Korea

20th PAKDD 2016, 19-22 April, 2016, Aukland, New Zealand

19th PAKDD 2015, 19-22 May, 2015, Ho Chi Minh City, Viet Nam

18th PAKDD 2014, 13-16 May, 2014, Tainan, Taiwan

17th PAKDD 2013, 14-17 April, 2013, Gold Coast, Australia

16th PAKDD 2012, 29 May – 1 June, 2012, Kuala Lumpur, Malaysia

15th PAKDD 2011, 24-27 May, 2011, Shenzhen, China

14th PAKDD 2010, 21-24 June, 2010, Hyderabad, India

13th PAKDD 2009, 27-30 April, 2009, Bangkok, Thailand

12th PAKDD 2008, 20-23 May, 2008, Osaka, Japan

11th PAKDD 2007, 22 – 25 May, Nanjing, China

10th PAKDD 2006, 9 – 12 April, Singapore

9th PAKDD 2005, 18 – 20 May, Hanoi, Vietnam

8th PAKDD 2004, 26 – 28 May, Sydney, Australia

7th PAKDD 2003, April 30-May 2, 2003, Seoul, Korea

6th PAKDD 2002, May 6- 8, 2002, Taipei, Taiwan

5th PAKDD 2001, April 16-18, 2001, Hong Kong SAR

4th PAKDD 2000, April 17-20, 2000, Keihanna Plaza, Japan

3rd PAKDD 1999, April 26-28, 1999, Beijing, China

2nd PAKDD 1998, 15-17 April 1998, Melbourne, Australia

1st PAKDD 1997, 23-24 February, Singapore
(co-located with with the 2nd Pacific-Asia Conference on Expert Systems & the 3rd Singapore International Conference on Intelligent Systems; organized by the Information Technology Institute & National University of Singapore)
Conference Tutorials: An Introduction to Effective Data Mining

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