Description

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 new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering,  visualization, decision-making systems, and the emerging applications.

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Important Dates

Draft paper submission deadline:2018-10-10

Call for paper description

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 new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. 

Author guidelines

Paper submission must be in English and adhere to the double-blind review policy. Submissions must have all details identifying the author(s) removed from the original manuscript, and the author(s) should refer to their own prior work in the third person and include all relevant citations. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. All paper submissions will be handled electronically. Papers that do not comply with the Submission Policy will be rejected without review. 

Each submitted paper should include an abstract up to 200 words and be no longer than 12 single-spaced pages with 10pt font size. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines for their initial submissions. All papers must be submitted electronically through the paper submission system in PDF format only. If required supplementary material may be submitted as a separate PDF file, but reviewers are not obligated to consider this, and your manuscript should therefore stand on its own merits without any supplementary material. Supplementary material will not be published in the proceedings.

The submitted papers must not be previously published anywhere and must not be under consideration by any other conference or journal during the PAKDD review process. Submitting a paper to the conference means that if the paper was accepted, at least one author will complete the regular registration and attend the conference to present the paper. For no-show authors, their papers will not be included in the proceedings. Before submitting your paper, please carefully read and agree with the PAKDD Paper Submission Policy and No-Show Policy: https://pakddsc.webfactional.com/policies/  

The conference will confer several awards including Best Paper Award, Best Student Paper Award, and Best Application Paper Award from the submissions. 

The proceedings of the conference will be published by Springer as a volume of the LNAI series, and selected excellent papers will be invited for publications in special issues of high-quality journals including Knowledge and Information Systems (KAIS) and International Journal of Data Science and Analytics. 

Topics of submission

PAKDD 2019 welcomes high-quality, original and previously unpublished submissions in the theory, practice, and applications on all aspects of knowledge discovery and data mining. Topics of relevance for the conference include, but not limited to, the following: 
● Theoretic foundations of KDD 
● Deep learning theory and applications in KDD 
● Novel models and algorithms 
● Statistical methods and graphical models for data mining 
● Anomaly detection and analytics 
● Association analysis 
● Clustering 
● Classification 
● Data pre-processing 
● Feature extraction and selection 
● Post-processing including quality assessment and validation 
● Mining heterogeneous/multi-source data 
● Mining sequential data 
● Mining spatial and temporal data 
● Mining unstructured and semi-structured data 
● Mining graph and network data 
● Mining social networks 
● Mining high dimensional data 
● Mining uncertain data 
● Mining imbalanced data 
● Mining dynamic/streaming data 
● Mining behavioral data 
● Mining multi-media data 
● Mining scientific data 
● Privacy preserving data mining 
● Fraud and risk analysis 
● Security and intrusion detection 
● Visual data mining 
● Interactive and online mining 
● Ubiquitous knowledge discovery and agent-based data mining 
● Integration of data warehousing, OLAP, and data mining 
● Parallel, distributed, and cloud-based high-performance data mining 
● Opinion mining and sentiment analysis 
● Human, domain, organizational, and social factors in data mining 
● Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems 

Committee

Honorary Co-Chairs  

● Hiroshi Motoda (Osaka University, Japan)  

● Lionel M. Ni (University of Macau, China)  


General Co-Chairs  

● Qiang Yang (Hong Kong University of Science and Technology, China)  

● Zhi-Hua Zhou (Nanjing University, China)  


Program Committee Co-Chairs  

● Zhiguo Gong (University of Macau, China)  

● Min-Ling Zhang (Southeast University, China)  


Workshop Co-Chairs  

● Hady W. Lauw (Singapore Management University, Singapore)  

● Leong Hou U (University of Macau, China)  


Tutorial Co-Chairs  

● Bob Durrant (University of Waikato, New Zealand)  

● Yang Yu (Nanjing University, China)  


Contest Co-Chairs  

● Hugo Jair Escalante (INAOE, Mexico)  

● Wei-Wei Tu (The Fourth Paradigm Inc., China)  


Publicity Co-Chairs  

● Yi Cai (South China University of Technology, China)  

● Xiangnan Kong (Worcester Polytechnic Institute, USA)  

● Gang Li (Deakin University, Australia)  

● Yasuo Tabei (RIKEN, Japan)  


Proceedings Chair  

● Sheng-Jun Huang (Nanjing University of Aeronautics and Astronautics, China)  


Local Arrangement Chair  

● Andrew Jiang (Macao Convention & Exhibition Association, China)  

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Contact information

  • pakdd2019@gmail.com
  • pakdd2019logistics@gmail.com
  • +853 2871 5616