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2017 Fiscal Year Final Research Report

A machine learning based system for storing and processing big spatial-temporal data

Research Project

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Project/Area Number 16K16038
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Software
Research InstitutionThe University of Aizu

Principal Investigator

Li Peng (李鵬)  会津大学, コンピュータ理工学部, 准教授 (30735915)

Project Period (FY) 2016-04-01 – 2018-03-31
Keywordsbig data / spatial-temporal data
Outline of Final Research Achievements

During the past two years, we have developed a software prototype for storing and processing big spatial-temporal data. This system can automatically adjust configurations according to data characteristics.

Free Research Field

big data system

URL: 

Published: 2019-03-29  

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