CALL For PAPERS & OTHER CALLS

                 IEEE DSAA'2017: 2017 International Conference on

                      Data Science and Advanced Analytics

                              Tokyo, Japan

                             October 19-21, 2017

                 http://www.dslab.it.aoyama.ac.jp/dsaa2017/

HIGHLIGHTS OF DSAA

* A very competitive acceptance rate (about 10%) for regular papers

* Jointly supported by IEEE, ACM and American Statistical Association

* Strong inter-disciplinary and cross-domain culture

* Strong engagement of analytics, statistics and industry/government

* Double blind, and 10 pages in IEEE 2-column format 

* More about DSAA conferences: www.dsaa.co

The Program Committee of the 2017 IEEE International Conference on 

Data Science and Advanced Analytics (DSAA'2017) invites the submission

of technical papers for two main tracks: Research and Applications, and

a series of Special Sessions of the conference which will be held in

Tokyo, Japan, from October 19th to 21th, 2017. DSAA solicits both 

theoretical and practical works on data science and advanced analytics.

All submissions will be blind reviewed by the Program Committee on the

basis of technical quality, relevance to conference topics of interest,

originality, significance, and clarity. All accepted papers, including 

in main tracks and special sessions, will be published by IEEE and will be

submitted for inclusion in the IEEE Xplore Digital Library. The conference

proceedings will be submitted for EI indexing through INSPEC by IEEE.

Top quality papers accepted and presented at the conference will be

selected for extension and invited to the special issues of International

Journal of Data Science and Analytics (JDSA, Springer).

IEEE DSAA INTRODUCTION

Data science encompasses the areas of data analytics, machine learning, 

statistics, optimization and managing big data, and has become essential

to glean understanding from large data sets and convert data into 

actionable intelligence, be it data available to enterprises, society, 

Government or on the Web. DSAA takes a strong interdisciplinary approach,

features by its strong engagement with statistics and business, in addition

to core areas including analytics, learning, computing and informatics.

DSAA fosters its unique Trends and Controversies session, Invited Industry

Talks session, Panel discussion, and four keynote speeches from statistics,

business, and data science. DSAA main tracks maintain a very competitive

acceptance rate (about 10%) for regular papers. Following the preceding

three editions DSAA'2016 (Montreal), DSAA'2015 (Paris), and DSAA'2014 

(Shanghai), DSAA'2017 aims to provide a premier forum that brings together

researchers, industry practitioners, as well as potential users of big data, 

for discussion and exchange of ideas on the latest theoretical developments

in Data Science as well as on the best practices for a wide range of

applications.

RESEARCH TRACK

The Research Track is aimed at collecting original (unpublished nor under

consideration at any other venue) and significant contributions related to

foundations of Data Science and Analytics. 

Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_research

APPLICATIONS TRACK

The Applications Track is aimed at collecting original papers describing

better and reproducible practices with substantial contributions to Data

Science and Analytics in real life scenarios.

Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_applications

SPECIAL SESSIONS

DSAA special sessions substantially upgrade traditional workshops to

encourage emerging topics in data science while maintain rigorous selection

criteria. Proposals to organize special sessions and submissions to 

respective special sessions are highly encouraged. 

CONFERENCE VENUE

The DSAA’2017 conference will be held at Shinagawa Prince Hotel in Tokyo, 

Japan. It is just two minutes walk from Shinagawa Station, which is the 

first stop on the Tokaido Shinkansen from Tokyo Station and is about 

20 minutes from Haneda Airport (Tokyo International Airport).

IMPORTANT DATES

Paper Submission deadline:        May 25, 2017

Notification of acceptance:        July 25, 2017

Final Camera-ready papers due:          August 15, 2017

Early Registration dealine:             August 31, 2017

Conference dates: October 19-21, 2017

For further details, please visit the conference website:

http://www.dslab.it.aoyama.ac.jp/dsaa2017/

+++++++++++++++++ OTHER CALLS & IMPORTANT DATES +++++++++++++++++++

Special Session Proposals

 Proposal submission: February 25, 2017

 Acceptance notification: TBA by Special Session Organizers

 Special session dates: October 19 – 21, 2017

 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfspecsessions/

Tutorial Proposals 

 Proposal submission: May 30, 2017, 11:59pm PST

 Notification: June 30, 2017

 Tutorial slides/other materials due: September 20, 2017, 11:59pm PST

 Tutorials dates: October 19-21, 2017

 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cftutorials/

Sponsorships 

 IEEE DSAA'2017 will be held between 19-21 October 2017 in Tokyo, Japan. Sponsorship 

 and opportunities to collaborate with DSAA'2017 should be directed to the DSAA'2017 

 Sponsorship Co-chairs at dsaa2017[at]dsaa.co.

 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfsponsors/

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

ORGANIZING COMMITTEE

  General Chairs:

    Hiroshi Motoda,           Osaka University, Japan

    Fosca Giannotti,          Information Science and Technology Institute of the

                              National Research Council at Pisa, Italy

    Tomoyuki Higuchi,         Institute of Statistical Mathematics, Japan 

  Program Chairs -- Research Track

    Takashi Washio,           Osaka University, Japan

    Joao Gama,                University of Porto, Portugal

  Program Chairs -- Application Track

    Ying Li,                  DataSpark Pte. Ltd., Singapore 

    Rajesh Parekh,            Facebook, also with KDD2016 and The Hive, USA

  Special Session Chairs    

    Huan Liu,                 Arizona State University, USA

    Albert Bifet,             Telecom ParisTech, France

  Trends & Controversies Chairs

    Philip S. Yu,             University of Illinois at Chicago, USA

    Pau-Choo (Julia) Chung,   National Cheng Kung University, Taiwan

  Award Chair

    Bamshad Mobasher,         DePaul University, USA

  NGDS (Next Generation Data Scientist) Award Chairs

    Kenji Yamanishi,          University of Tokyo, Japan

    Xin Wang,                 University of Calgary, Canada

  Tutorial Chairs

    Zhi-Hua Zhou,             Nanjing University, China

    Vincent Tseng,            National Chiao Tung University, Taiwan

  Panel Chairs

    Geoff Webb,               Monash University, Australia

    Bart Goethals,            University of Antwerp, Belgium

  Invited Industry Talk Chairs

    Yutaka Matsuo,            University of Tokyo, Japan

    Hang Li,                  Huawei Technologies, Hong Kong

  Publicity Chairs

    Tu Bao Ho,                Japan Advanced Institute of Science & Technology, Japan

    Diane J. Cook,            Washington State University

    Marzena Kryszkiewicz,     Warsaw University of Technology, Poland

  Local Organizing Chairs

    Satoshi Kurihara,         University of Electro-Communications, Japan

    Hiromitsu Hattori,        Ritsumeikan University, Japan

  Publication Chair

    Toshihiro Kamishima,      National Institute of Advanced Industrial

                              Science and Technology, Japan   

  Web Chair

    Kozo Ohara,               Aoyama Gakuin University, Japan

  Sponsorship Chairs

    Yoji Kiyota,              NEXT Co., Ltd, Japan

    Kiyoshi Izumi,            University of Tokyo, Japan

    Tadashi Yanagihara,       KDDI Corp., KDDI R\&D Laboratory, Japan

    Longbing Cao,             University of Technology Sydney, Australia 

    Byeong Kang               University of Tasmania, Australia

CONTACT INFORMATION

    Hiroshi Motoda            motoda@ar.sanken.osaka-u.ac.jp

    Satoshi Kurihara          skurihara@uec.ac.jp