The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
May 23~26, 2017, Jeju Island, Korea

Conference Website:
http://pakdd2017.pakdd.org/

Important Dates:
- Paper submission due: 11:59:59 p.m. PST, October 30 (Sun), 2016
- Notification to authors: January 13 (Fri), 2017
- Camera-ready due: February 13 (Mon), 2017
- Conference: May 23 (Tues) ~ 26 (Fri), 2017

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, cyber-security 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 no
longer than 12 single-spaced pages with 10pt font size. Authors are
strongly encouraged to use Springer LNCS/LNAI manuscript submission
guidelines 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 conference or journal during the
PAKDD review process. Submitting a paper to the conference means that
if the paper was accepted, at least one author will attend the conference
to present the paper. For no-show authors, their papers will not be
included in the proceedings.

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 excellent papers will be invited
for publications in special issues of high-quality journals including
Knowledge and Information Systems (KAIS) and International Journal of
Data Science and Analytics.

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

Submission Site:
https://cmt.research.microsoft.com/PAKDD2017/

LaTeX and Word Templates & Submission Guidelines:
https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

Conference Officers:
- Honorary Chair:
Kyu-Young Whang (KAIST, Korea)
- General Co-Chairs:
Jinho Kim (Kangwon National University, Korea)
Kyuseok Shim (Seoul National University, Korea)
- Program Committee Co-Chairs:
Longbing Cao (University of Technology Sydney, Australia)
Jae-Gil Lee (KAIST, Korea)
Xuemin Lin (University of New South Wales, Australia)
- Tutorial Co-Chairs:
Dongwon Lee (Penn State University, USA)
Yasushi Sakurai (Kumamoto University, Japan)
Hwanjo Yu (POSTECH, Korea)
- Workshop Co-Chairs:
U Kang (Seoul National University, Korea)
Eepeng Lim (Singapore Management University)
Jeffrey Xu Yu (The Chinese University of Hong Kong)
- Publicity Co-Chairs:
Sang-Won Lee (Sungkyunkwan University, Korea)
Guoliang Li (Tsinghua University, China)
Steven Whang (Google Research, USA)
Xiaofang Zhou (University of Queensland, Australia)
- Finance Co-Chairs:
Jaewoo Kang (Korea University, Korea)
Jaesoo Yoo (Chungbuk National University, Korea)
- Treasury Chair:
Chulyun Kim (Sookmyung Women's University, Korea)
- Proceedings Chair:
Yangsae Moon (Kangwon National University, Korea)
- Contest Co-Chairs:
Nitesh Chawla (University of Notre Dame, USA)
Younghoon Kim (Hanyang University, Korea)
Young-Koo Lee (Kyung Hee University, Korea)
- Local Arrangement Co-Chairs:
Joonho Kwon (Pusan National University, Korea)
Jun-Ki Min (Korea University of Technology and Education, Korea)
Chan Jung Park (Jeju National University, Korea)
Young-Ho Park (Sookmyung Women's University, Korea)
- Registration Co-Chairs:
Min-Soo Kim (DGIST, Korea)
Wookey Lee (Inha University, Korea)
- Web Chair:
Ha-Joo Song (Pukyong National University, Korea)

Further Information:
For further information, please contact the Program Committee Chairs at pakdd17@gmail.com.

General Inquiries:
Jae-Gil Lee
Email: pakdd17@gmail.com