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Notice

AISB event Bulletin Item

CALL FOR PAPERS: 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining,May 1316, 2014,Tainan, TAIWAN

http://pakdd2014.pakdd.org/

Important Dates
Paper submission due: October 1, 2013
Notification to author: December 20, 2013
Camera ready due: January 12, 2014 

*[23:59:59 Pacific Time]

================================================================
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.


================================================================
Topics

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 
http://www.springer.de/comp/lncs/authors.html) 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).

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

Steering Committee Chairs

Honorary Co-chairs
Hiroshi Motoda, Osaka University, Japan
Philip S. Yu, University of Illinois at Chicago, USA

General Co-chairs
Zhi-Hua Zhou, Nanjing University, China
Arbee L. P. Chen, National Chengchi University, Taiwan

Program Committee Co-chairs
Vincent S. Tseng, National Cheng Kung University, Taiwan
Tu Bao Ho, JAIST, Japan

Workshop Co-chairs
Wen-Chih Peng, National Chiao Tung University, Taiwan
Haixun Wang, Google Inc., USA
James Bailey, University of Melbourne, Australia

Tutorial Co-chairs
Mi-Yen Yeh, Academia Sinica, Taiwan
Guandong Xu, University of Technology Sydney, Australia
Seung-Won Hwang, POSTECH, Korea

Publicity Co-chairs
Takashi Washio, Osaka University, Japan
Tzung-Pei Hong, National University of Kaohsiung, Taiwan
Yu Zheng, Microsoft Research Asia, China
George Karypis, University of Minnesota, USA

Proceedings Chair
Hung-Yu Kao, National Cheng Kung University, Taiwan

Contest Co-chairs
Shou-De Lin, National Taiwan University, Taiwan
Nitesh Chawla, University of Notre Dame, USA

Local Arrangement Co-chairs
Jen-Wei Huang, National Cheng Kung University, Taiwan
Kun-Ta Chuang, National Cheng Kung University, Taiwan
Ja-Hwung Su, Kainan University, Taiwan

================================================================
Further Information

For further information, please contact the Program Committee Chairs by pakdd2014@gmail.com

General inquiries

* Vincent S. Tseng

National Cheng Kung University, Taiwan

Email: pakdd2014@gmail.com
Phone: (886)6-2757575 ext 62536
Fax: (886)6-2747076