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

Seiji Kasuya, Kiichi Tago, Xiaokang Zhou, Qun Jin

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 9th International Conference on Information Technology in Medicine and Education, ITME 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ808-812
ページ数5
ISBN(電子版)9781538677438
DOI
出版ステータスPublished - 2018 12 26
イベント9th International Conference on Information Technology in Medicine and Education, ITME 2018 - Hangzhou, Zhejiang, China
継続期間: 2018 10 192018 10 21

出版物シリーズ

名前Proceedings - 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
国/地域China
CityHangzhou, Zhejiang
Period18/10/1918/10/21

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 医学(その他)
  • 情報システム
  • 健康情報学
  • 教育

フィンガープリント

「Extraction of Factors Related to Transportations and Destinations by Decision Trees for Personal Whereabouts Modeling」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル