Quali-informatics in the society with yotta scale data

Satoshi Shioiri, Yoshiyuki Sato, Yuta Horaguchi, Hiroaki Muraoka, Mariko Nihei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Accumulation of information is essential for human knowledge production, and information technology has accelerated the speed of data accumulation. The increase in quantity of information with high speed does not promise high-quality knowledge production and possibly does cause problems. One big problem is lack of storage for such big data. Another critical problem in information usage is information overload, that is, deterioration of productivity by too much information. Decision accuracy decrease with amount of information beyond a certain point while it increases at the beginning. We introduce an approach for solution of these problems with an example of research along the approach.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728192017
DOIs
Publication statusPublished - 2021
Event53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
Duration: 2021 May 222021 May 28

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2021-May
ISSN (Print)0271-4310

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
Country/TerritoryKorea, Republic of
CityDaegu
Period21/5/2221/5/28

Keywords

  • Data quality
  • Human judgments
  • Information overload
  • Yotta scale data

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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