Extraction of Factors Related to Transportations and Destinations by Decision Trees for Personal Whereabouts Modeling

Seiji Kasuya, Kiichi Tago, Xiaokang Zhou, Qun Jin

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

Abstract

It has become possible to record the data of a visited place automatically, using a smartphone's GPS. The smartphone can visualize where a user visits and present the traveling route. In this study, we propose a personal whereabouts model for living pattern analysis, utilizing the smartphone's GPS. The proposed model aims to extract personal living patterns effectively. To this propose, it is important to analyze those factors related to location and environment. A decision tree based method is used to extract these factors for the location-based personal data analysis. We finally discuss the experiment design and our observations based on personal data collected from mobile environments.

Original languageEnglish
Title of host publicationProceedings - 9th International Conference on Information Technology in Medicine and Education, ITME 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages808-812
Number of pages5
ISBN (Electronic)9781538677438
DOIs
Publication statusPublished - 2018 Dec 26
Event9th International Conference on Information Technology in Medicine and Education, ITME 2018 - Hangzhou, Zhejiang, China
Duration: 2018 Oct 192018 Oct 21

Publication series

NameProceedings - 9th International Conference on Information Technology in Medicine and Education, ITME 2018

Conference

Conference9th International Conference on Information Technology in Medicine and Education, ITME 2018
Country/TerritoryChina
CityHangzhou, Zhejiang
Period18/10/1918/10/21

Keywords

  • Decision Trees
  • Location-Based Data Analysis
  • Personal Whereabouts Model

ASJC Scopus subject areas

  • Computer Science Applications
  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Education

Fingerprint

Dive into the research topics of 'Extraction of Factors Related to Transportations and Destinations by Decision Trees for Personal Whereabouts Modeling'. Together they form a unique fingerprint.

Cite this