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