Proximity mining: Finding proximity using sensor data history

Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara

研究成果: Conference contribution

12 被引用数 (Scopus)

抄録

Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many location-sensing systems have been developed, but none of the systems for the indoor environment have been widely adopted. In this paper we propose Proximity Mining, a new approach to build location information by mining sensor data. The Proximity Mining does not use geometric views for location modeling, but automatically discovers symbolic views by mining time series data from sensors which are placed in surroundings. We deal with trend curves representing time series sensor data, and use their topological characteristics to classify locations where the sensors are placed.

本文言語English
ホスト出版物のタイトルProceedings - 5th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2003
出版社Institute of Electrical and Electronics Engineers Inc.
ページ129-138
ページ数10
ISBN(電子版)0769519954, 9780769519951
DOI
出版ステータスPublished - 2003 1 1
外部発表はい
イベント5th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2003 - Monterey, United States
継続期間: 2003 10 92003 10 10

出版物シリーズ

名前Proceedings - 5th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2003

Other

Other5th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2003
国/地域United States
CityMonterey
Period03/10/903/10/10

ASJC Scopus subject areas

  • 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

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