The 19th Pacific-Asia Conference on

Knowledge Discovery and Data Mining

Call for papers

The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining

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

Conference Website:

Important Dates

Paper submission due: November 28, 2014 December 5, 2014 (final) [23:59:59 Pacific Time]
Notification to author: January 30, 2015
Camera ready due: February 20, 2015
Conference: May 19-22, 2015

Conference Scope

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference in the areas of knowledge discovery and data mining (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, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.


The topics of relevance for the conference papers include but not limited to the following:

  • Theoretic foundations
  • Novel models and algorithms
  • Association analysis
  • Clustering
  • Classification
  • Statistical methods for data mining
  • 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 multimedia data
  • Mining scientific data
  • Privacy preserving data mining
  • Anomaly detection
  • 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, etc

Paper Submission

The submitted paper should adhere to the double-blind review policy. 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. Detailed instructions are provided on the conference home page. Papers that do not comply with the Submission Guidelines will be rejected without review.

Each submitted paper should include an abstract up to 200 words and be not longer than 12 single-spaced pages with 10pt font size. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines (available at for their initial submissions. All papers must be submitted electronically through the paper submission system in PDF format only.

The submitted papers must not be previously published anywhere, and must not be under consideration by any other conferences or journal during the PAKDD review process. Submitting a paper to the conference means that if the paper were accepted, at least one author will attend the conference to present the paper. For no-show authors, their affiliations will receive a notification. The program committee chairs are not allowed to submit papers to the conference for a fair review process.

The conference will confer several awards including Best Paper Awards, Best student Paper Awards and Best Application Paper Awards from the submissions. The proceedings of the conference will be published by Springer as a volume of the LNAI series and selected best papers will be invited for publications in special issues of high-quality journals including Knowledge and Information Systems (KAIS) and ACM Transactions on Intelligent Systems and Technologies (TIST).

Especially, for PAKDD 2015, the Steering Committee will sponsor two sets of travel awards: Student Travel Awards and Early Career Researcher Travel Awards. We have allocated $4,000 USD for each and suggest that 10 awards be presented for each at $400 USD each to contribute towards travel.

Before submitting your paper, please carefully read and agree with the PAKDD submission policy and no-show policy:

Conference Officers

Honorary Co-chairs

  • Phan Thanh Binh, Vietnam National University - Ho Chi Minh City, Vietnam
  • Masaru Kitsuregawa, National Institute of Informatics, Japan

General Co-chairs

  • Tu Bao Ho, Japan Advanced Institute of Science and Technology, Japan
  • David Cheung, The University of Hong Kong, China
  • Hiroshi Motoda, Osaka University, Japan

Program Committee Co-chairs

  • Tru Hoang Cao, Ho Chi Minh City University of TechnologyVietnam
  • Ee-Peng Lim, Singapore Management University, Singapore
  • Zhi-Hua Zhou, Nanjing University, China

Tutorial Co-chairs

  • Phung Quoc Dinh, Deakin University, Australia
  • U Kang, Korea Advanced Institute of Science and Technology, Korea

Workshop Co-chairs

  • Xiaoli Li, Institute for Infocomm Research - A*STAR, Singapore
  • Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg, Germany

Publicity Co-chairs

  • Takashi Washio, Osaka University, Japan
  • Jaidep Srivastava, University of Minnesota, USA

Contest Co-chairs

  • Nguyen Hung Son, Warsaw University, Poland
  • Nitesh Chawla, University of Notre Dame, USA
  • Nguyen Duc Dung, Vietnam Academy of Science and Technology, Vietnam

Local Arrangement Co-chairs

  • Do Phuc, University of Information Technology - VNUHCM, Vietnam
  • Le Hoai Bac, Ho Chi Minh City University of Science, Vietnam
  • Huynh Ngoc Tuyen, John von Neumann InstituteVietnam
  • Quan Thanh Tho, Ho Chi Minh City University of Technology, Vietnam

Registration Co-chairs

  • Vo Thi Ngoc Chau, Ho Chi Minh City University of Technology, Vietnam
  • Phung Nguyen, John von Neumann Institute, Vietnam

Further Information

For further information, please contact the Program Committee Chairs by

General inquiries

Tru Hoang Cao