Appel: PAKDD 2014
Thierry Hamon
thierry.hamon at UNIV-PARIS13.FR
Sat Aug 24 11:34:07 UTC 2013
Date: Tue, 13 Aug 2013 23:50:18 +0800
From: cfp at grid.chu.edu.tw
Message-Id: <201308131550.r7DFoI2A021164 at grid.chu.edu.tw>
X-url: http://pakdd2014.pakdd.org/
The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 13–16, 2014
Tainan, Taiwan
Conference Website:
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 at gmail.com
General inquiries
* Vincent S. Tseng
National Cheng Kung University, Taiwan
Email: pakdd2014 at gmail.com
Phone: (886)6-2757575 ext 62536
Fax: (886)6-2747076
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