日本データベース学会

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[dbjapan] 【論文募集:9/30締切】Special Session (SS01) - IEEE ICCE 2021 (2021/1/10-12, Virtual Conference)

  • To: Dbjapan <dbjapan [at] dbsj.org>
  • Subject: [dbjapan] 【論文募集:9/30締切】Special Session (SS01) - IEEE ICCE 2021 (2021/1/10-12, Virtual Conference)
  • From: Yuanyuan WANG <y.wang [at] yamaguchi-u.ac.jp>
  • Date: Wed, 02 Sep 2020 15:52:38 +0900

日本データベース学会の皆様
(重複してお受け取りの方はご容赦ください)

山口大学の王です。
いつもお世話になっております。

来年1月にオンラインにて開催される国際会議IEEE ICCE 2021のSpecial Session (SS01)についてご案内いたします。

論文の投稿締切は9月30日となっており、是非ともご投稿をご検討いただけますと幸いです。

どうぞよろしくお願い申しあげます。

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CALL FOR PAPER - IEEE ICCE 2021 - Virtual Conference - (10-12 January 2021)
SS01: Special Session on Data Science and Its Application to Digital
Transformation
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Chair: Prof. Dr. Yukiko Kawai (Kyoto Sangyo University, Japan),
Co-Chairs: Dr. Yuanyuan Wang (Yamaguchi University, Japan),
           Dr. Mohd Anuaruddin Bin Ahmadon (Yamaguchi University, Japan)

Keywords: data science, big data, cognitive computing, data mining,
visualization, social media analysis

Abstract:
We can leverage the vast amount of data accumulated from various sources
such as wearable devices, smart systems, and the internet to transform
consumer’s experience. Digital transformation can add value to services
by offering better decision making and personalization. However,
extracting and processing big real-time data is not easy. Data science
enables big data processing using machine learning, statistics, and
optimization techniques. This session focuses on the recent trends of
applying data sciences to consumers, such as analysis of cognitive
computing, large scale optimizations, data mining, visualization, and
social media analysis. We invite all researchers to present their latest
work.

<Important Dates>
Submission & Proposal Deadline: September 30, 2020
Acceptance Notification: November 15, 2020
Camera Ready Paper: November 31, 2020
Presentation Ready: November 15, 2020

Submission System: https://edas.info/newPaper.php?c=27384
Submission Guideline: https://www.icce.org/paper-submission-guideline/

*Registration fees will be discounted to adapt to the virtual style.

View ICCE 2021 Website: https://www.icce.org/
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王 元元
山口大学大学院創成科学研究科
工学系学域・知能情報工学分野
(兼担:工学部知能情報工学科)
助教 博士(環境人間学)
y.wang [at] yamaguchi-u.ac.jp
circl.wang [at] gmail.com
0836-85-9522

Yuanyuan Wang, Ph.D
Assistant Professor, Department of Information Science and Engineering, College of Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Japan 
E-mail: y.wang [at] yamaguchi-u.ac.jp
        circl.wang [at] gmail.com
Tel: +81-836-85-9522

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