Call for Papers 

Important Dates

Paper submission due: October 10, 2018 October 17, 2018

Notification to authors: December 15, 2018 

Camera-ready due: January 15, 2019 

Conference date: April 14-17, 2019 

All deadlines are 11:59pm Pacific Standard Time (PST)

Conference Scope 

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. 


PAKDD 2019 welcomes high-quality, original and previously unpublished submissions in the theory, practice, and applications on all aspects of knowledge discovery and data mining.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 
 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 

Paper Submission 

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 (including the supplementary files, if any), 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 (including references, appendices, etc.). 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:  

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. 

Formatting Template 

Formatting template:  

Submission Site 

Submission site:  

Further Information 

If you have any questions, please feel free to contact us at  




Important Dates

* Paper Submission Due

October 10, 2018
October 17, 2018

* Notification to Authors
December 15, 2018

* Camera-ready Due
January 15, 2019

* Conference Date
April 14-17, 2019

All deadlines are 11:59pm Pacific Standard Time (PST)