[dbjapan] iCAST Special Session *Awareness Technology for Economic and Social Data Analysis* のご案内

[Takako Hashimoto <takako [at] cuc.ac.jp>]

日本データベース学会の皆様

千葉商科大学の橋本です。

The 11th IEEE International Conference on Awareness Science and 

Technology (iCAST 2020) の Special Session、Awareness Technology 

for Economic and Social Data Analysis のお知らせを転送致します。

ぜひご投稿を検討いただけると幸いです。

よろしくお願い致します。

ーーー

Session Title:  *Awareness Technology for Economic and Social Data Analysis*

at The 10th IEEE International Conference on Awareness Science and
Technology iCAST 2019
October 23 - 25, 2019,
Morioka, Japan Webpage: http://www.chishiki.soft.iwate-pu.ac.jp/icast2019/

Organizers:

   - Prof. Yukari Shirota (Gakushuin University)
      yukari.shirota [at] gakushuin.ac.jp
      - Prof. Takako Hashimoto (Chiba University of Commerce)
      *takako [at] cuc.ac.jp*
      - Prof. Basabi Chakraborty (Iwate Prefectural University)
      *basabi [at] iwate-pu.ac.jp*

Abstract:

In the field of economic, social and environmental data analysis, machine
learning technologies have been more and more used. The analysis target
include stock process, GDP, exchange rate, Gini index, TFR (total fertility
rate), working population, and profit of company. However, in some
conferences concerning economics, there is not enough discussions on the
data analysis technologies. Especially concerning the latest machine
learning analysis methods, there is quite few comments because the audience
have not enough knowledge on the machine learning technologies. The
organizer will propose the special session so that we can discuss the data
analysis method and the used data. We will exchange advices and comments
using concrete library names such as sklearn and the source data such as
World Bank. The special session will contribute a lot to economic data
analysts, because they will be able to know other researcher methodologies.
Therefore, the papers are limited to be ones that use machine learning
methods including PCA(Principal Component Analysis) and SVD(Singular Value
Decomposition) other than DNN and tree-based models and others. The target
data must be no image data, because the *image analysis is out of this
theme*. The main target is economics data analysis. However other non-image
data analysis is welcome.

Topics of Interests include but are not limited to:

(1) Classification or regression of economics/social/environmental data

(2) Social media data analysis by machine learning methods

(3) Financial prediction/analysis by machine learning methods

(4) Sustainable Development Goals related data analysis by machine learning
methods

(5) Visualization of those data analyses

Venue:

AIINA 7th, & 8th. Fl., Morioka, Iwate, Japan. http://www.aiina.jp/en/ (4mins.
Walk from Morioka station, 8mins drive from Tohoku Expressway)

Paper Submission Procedure:
Electronic version of full paper (IEEE format, A4 six-page standard
including figures and tables) complete with authors' affiliations should be
submitted through official site. All accepted papers will be sent to IEEE
Xplore Digital Library. Selected papers will be recommended for
post-conference publication in some Science Citation Index Expanded, EI, or
Scopus journals.

 Important Dates:
• June 3, 2019: Deadline of Special Session (SS) proposal
• June 28, 2019: Notification of Acceptance of SS proposal
• July 26, 2019: Deadline of paper submission (both general session and SS)
• August 30, 2019: Notification of paper acceptance
• September 17, 2019: Submission of final camera-ready papers
• September 10, 2019: Deadline for registration

-- 
Takako Hashimoto, Ph. D.
Vice President, Chiba University of Commerce  (Professor)

Director, International Center, Chiba University of Commerce

IEEE R10 Secretary (2019-2020)

Member, IEEE AB Presentation and Publicity Committee (2020)
1-3-1, Konodai Icdbdbjhikawa City, Chiba,
272-8512 Japan,　tel:+81-47-373-4222
takako [at] cuc.ac.jp