• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2018 Fiscal Year Final Research Report

Study of generation of aggregated symbolic data from large data

Research Project

  • PDF
Project/Area Number 15K00059
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Statistical science
Research InstitutionTokushima Bunri University

Principal Investigator

YAMAMOTO Yoshikazu  徳島文理大学, 理工学部, 教授 (80240133)

Project Period (FY) 2015-04-01 – 2019-03-31
Keywordsシンボリックデータ解析 / 可視化 / 並列分散処理 / 大規模データ
Outline of Final Research Achievements

In this study, we made two things possible with the goal of generating suitable aggregated symbolic data from large-scale data. One is to create data of a size that can be processed interactively by aggregating large-scale data that can not be processed by one computer. Parallel distributed processing is performed at this time. The other one produces appropriate aggregate symbolic data about the created data. Since this differs depending on the data, it performs trial and error by visualization and interactive operation. At this time, it may return to the data creation process as needed.

Free Research Field

計算機統計学

Academic Significance and Societal Importance of the Research Achievements

適切な集約的シンボリックデータによって,データサイズが大き過ぎるために,今までは,傾向を把握できなかったようなデータの傾向を把握できるようになる.特に,可視化によって,直感的に理解できるようになる.

URL: 

Published: 2020-03-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi