PAKDD 2011 - PAKDD2011: The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Call For Papers PAKDD 2011
The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 24-27, 2011, Shenzhen, China
Download CFP
Conference Website

http://pakdd2011.pakdd.org/

Submission System

http://www.easychair.org/conferences/?conf=pakdd20...

Important Dates

Abstract Submission Due: 19 September 2010 (Sun)*
Paper Submission Due: 26 September 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.

Topics

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 size at least 11 pts. 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 http://www.easychair.org/conferences/?conf=pakdd20....

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.

Before submitting your paper, please carefully read and agree with the PAKDD submission policy and no-show policy: http://pakdd.togaware.com/policy.html

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

Email: pkadd2011-AT-pakdd.org
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