Proximity mining: Finding proximity using sensor data history

Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara

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

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 5th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages129-138
Number of pages10
ISBN (Electronic)0769519954, 9780769519951
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event5th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2003 - Monterey, United States
Duration: 2003 Oct 92003 Oct 10

Publication series

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

Other

Other5th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2003
Country/TerritoryUnited States
CityMonterey
Period03/10/903/10/10

Keywords

  • Context-aware computing
  • Location modeling
  • Location-aware computing
  • Pervasive computing
  • Proxymity Mining
  • Real-space computing
  • Spatial Data Mining
  • Ubiquitous computing
  • Zero configuration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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