Visitor Behavior Analysis Based on Large-Scale Wi-Fi Location Data

Masaki Maruta, Yuta Sano, Kohei Yamaguchi, Tsunenori Mine

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

The paper aims to interpret visitor behaviors by analyzing a large scale Wi-Fi location data obtained at Interop Tokyo 2014. We first detected a situation of a visitor's stay at a booth, calculated the sojourn time of the visitor and represented each visitor as a booth vector whose element value is the total sojourn time of the visitor at a booth. Then, we classified the visitors by k-Means. By using category labels of each booth, we analyzed characteristics of clusters. The results illustrate that some categories appear at the top rank of most clusters, and the area of the booths included in each cluster is mostly some specific small one, not the entire one.

本文言語英語
ホスト出版物のタイトルProceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015
編集者Sachio Hirokawa, Kiyota Hashimoto, Tokuro Matsuo, Tsunenori Mine
出版社Institute of Electrical and Electronics Engineers Inc.
ページ55-60
ページ数6
ISBN(電子版)9781479999583
DOI
出版ステータス出版済み - 1 6 2016
イベント4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 - Okayama, 日本
継続期間: 7 12 20157 16 2015

出版物シリーズ

名前Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015

その他

その他4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015
国/地域日本
CityOkayama
Period7/12/157/16/15

All Science Journal Classification (ASJC) codes

  • 情報システム
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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