Submission deadline: 25th May 2017
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.
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
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Special Session Proposals
Tutorial Proposals
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/
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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 Richard De Veaux, Williams College, USA 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