Call For Papers PAKDD 2011
The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 24-27, 2011, Shenzhen, China
Download CFP [pdf] [txt]
Deadline of full paper submission has been extended to 10 October 2010

Conference Website

Submission System

Important Dates

  • Abstract Submission Due: 19 September 2010 (Sun)*
  • Paper Submission Due: 26 September 2010 (Sun) 10 October 2010 (Sun)*
  • Author Notification: 29 December 2010 (Wed)
  • Camera Ready Due: 23 January 2011 (Sun)
  • Workshop Proposal Due: 29 August 2010 (Sun)
  • Tutorial Proposal Due: 14 November 2010 (Sun)
  • Tutorial Notification: 5 December 2010 (Sun)
  • Conference: 24-27 May 2011 (Tue-Fri)

*[23:59:59 Pacific Standard Time]

Conference Scope

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

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.

PAKDD2011 will be held in Shenzhen, one of the most attractive cities in China.

About Shenzhen

Shenzhen is located in the Guangdong province of southern China, bordering the New Territories of Hong Kong. As one of China's first Special Economic Zones, Shenzhen was built from a small fishing village 30 years ago to a modern city with a population of more than 10 million. Shenzhen is mainland China's southern financial center and the home of the Shenzhen Stock Exchange and many of China's best known high-tech companies such Huawei, ZTE and Tencent. In 2009, Shenzhen's GDP was ranked no. 4 in mainland China.

Shenzhen is tourist attraction city with many famous theme parks. Splendid China and China Folk Culture Villages introduce visitors to China's long history and varied cultures, while Windows of the World will take you to every corner of the world in one day. Happy Valley, the largest of Shenzhen City's theme parks is located on the picturesque coastline with luxurious hotels, scenic views and various entertainment activities.

Shenzhen is a migrant city with people from all parts of China. More and more foreigners from all over the world work or visit Shenzhen. Shenzhen famous shopping and dining attracts many people from Hong Kong each day. Goods and services are comparatively cheaper than those in Hong Kong. Restaurants serve various cuisines from the provinces of China, such as hot and spicy specialties of Sichuan and Hunan provinces, cold dishes of northeast China and the perennial Cantonese meals which are all favorite dishes of the locals. Japanese and Thai restaurants are also becoming popular.

Shenzhen weather is mild, with plentiful sunshine and rainfall all year round due to its subtropical marine climate. The temperature is 22.4°C (72.32°F) on average.

Shenzhen Baoan International Airport connects to all major cities in China and several regions and countries in Asia. International travelers can use Hong Kong International Airport to come to Shenzhen. Transportation is available from Hong Kong International Airport to the Shenzhen border.

The conference will arrange accommodations at different cost levels.


The topics of the conference and workshop papers fall into three major categories that will include but are not limited to the following:

  • A. Data Mining Foundations
    • Theoretic foundations
    • Novel models and algorithms
    • Mining emerging data types
    • Mining mixed and multi-source data
    • Mining complex sequential data
    • Mining spatial and temporal data
    • Mining textual and semi-structured/unstructured data
    • Parallel, distributed and combined data mining
    • Privacy data analysis
    • Mining high dimensional data
    • Statistical foundations
  • B. Mining in Emerging Domains
    • Stream/dynamic data mining
    • Visual data mining
    • Mining behavioral data
    • Ubiquitous knowledge discovery
    • Mining multi-agent data and agent-based data mining
    • Mining linkages, networks and communities
    • Mining the Internet and social networks
    • Financial data mining
    • Opinion and sentiment analysis
    • Mining imbalanced data
    • Mining graphic data
    • Security, risk, cost, impact, trust and repeatibility etc.
    • Interactive and online mining
    • Integration of data warehousing, OLAP and data mining
    • Massive data mining on cloud platforms
  • C. Process and Applications
    • Actionable knowledge discovery
    • Developing a unifying theory of data mining
    • Data pre-processing and transformation
    • Feature selection and extraction
    • Post-processing and post mining
    • Deliverable representation and presentation
    • Automating the mining process
    • Human, domain, organizational and social factors in data mining
    • Quality assessment and validation
    • Data mining languages
    • High performance implementations of data mining algorithms
    • Intrusion detection and surveillance analysis
    • Healthcare, health, drug and medical data analysis
    • Bioinformatics, computational chemistry, ecoinformatics
    • Fraud and risk analysis
    • Other applications such as supply chain intelligence
    • Lessons and experiences

Paper Submission

Each paper should consist of a cover page with title, authors' names, postal and email address, and an abstract with up to 200-words, up to 5 keywords and a body not longer than 12 single-spaced pages with font size10 pt, and put both the cover page and the main body into one file. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines for their initial submissions. All papers must be submitted electronically in PDF format only, using the conference management tool. Detailed instructions will be available at the conference website

The submitted papers must not be previously published anywhere, and must not be submitted to any other conferences before and during the PAKDD review process. A journal submission may be concurrent, but would be expected to have significant additional material not in the conference submission, and the final revision should not have been submitted until the PAKDD reviews have been made available to the authors. Ideally the final journal version should be prepared after the conference so that feedback from the conference can be included. 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.

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. Papers that do not comply with the Submission Guidelines will be rejected without review.

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

Conference Officers

  • General Co-Chairs
    • Jianping Fan, Shenzhen Institutes of Advanced Technology, CAS, China
    • David Cheung, University of Hong Kong, China
  • Program Committee Co-Chairs
    • Joshua Huang, Shenzhen Institutes of Advanced Technology, CAS, China
    • Longbing Cao, University of Technology Sydney, Australia
    • Jaideep Srivastava, University of Minnesota, USA
  • Workshop Co-Chairs
    • James Bailey, The University of Melbourne, Australia
    • Yun Sing Koh, The University of Auckland, New Zealand
  • Tutorial Co-Chairs
    • Xiong Hui, Rutgers, the State University of New Jersey
    • Sanjay Chawla, The University of Sydney, Australia
  • Local Arrangement Co-Chairs
    • Shengzhong Feng, Shenzhen Institutes of Advanced Technology, CAS, China
    • Jun Luo, Shenzhen Institutes of Advanced Technology, CAS, China
  • Sponsorship Co-Chairs
    • Yalei Bi, Shenzhen Institutes of Advanced Technology, CAS, China
    • Zhong Ming, Shenzhen University, China
  • Publicity Chair
    • Jian Yang, Beijing University of Technology, China
    • Ye Li, Shenzhen Institutes of Advanced Technology, CAS, China
    • Yuming Ou, University of Technology Sydney, Australia
  • Publication Chair
    • Longbing Cao, University of Technology Sydney, Australia

Steering Committee

  • Chairs
    • Rao Kotagiri, University of Melbourne, Australia
    • Graham Williams (co-chair), Australian National University, Australia
  • Life Members
    • David Cheung, University of Hong Kong, China
    • Masaru Kitsuregawa, Tokyo University, Japan
    • Rao Kotagiri, University of Melbourne, Australia
    • Hiroshi Motoda, AFOSR/AOARD and Osaka University, Japan
    • Graham Williams (Treasurer), Australian National University, Australia
    • Ning Zhong, Maebashi Institute of Technology, Japan
  • Members
    • Ming-Syan Chen, National Taiwan University, Taiwan, ROC
    • Tu Bao Ho, Japan Advanced Institute of Science and Technology, Japan
    • Ee-Peng Lim, Singapore Management University, Singapore
    • Huan Liu, Arizona State University, U.S.
    • Jaideep Srivastava, University of Minnesota, USA
    • Takashi Washio, Institute of Scientific and Industrial Research, Osaka University
    • Thanaruk Theeramunkong, Thammasat University, Thailand
    • Kyu-Young Whang, Korea Advanced Institute of Science & Technology, Korea
    • Chengqi Zhang, University of Technology Sydney, Australia
    • Zhi-Hua Zhou, Nanjing University, China
    • Krishna Reddy, IIIT, Hyderabad, India

Further Information

For further information, please contact the Program Committee Chair:

Longbing Cao

University of Technology Sydney, Australia


Phone: (61)2-9514-4477

Fax: (61)2-9514-1807

Organized by

  • Shenzhen Institutes of Advanced Technology, China
  • Chinese Academy of Sciences, China

Co-organized by

  • University of Hong Kong, China
  • University of Technology Sydney, Australia
Copyright © 2011 PAKDD. All Rights Reserved