ηk-nearest neighbor algorithm for estimation of symbolic user location in pervasive computing environments

Proceedings - 6th IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks, WoWMoM 2005

Volumn , Issue , 2005, Pages 472-474

  Mantoro, Teddy ^a   Johnson, C W ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA NORMALIZATION; ESTIMATION RESULTS; INSTANCE BASED LEARNING; K NEAREST NEIGHBOR ALGORITHM; K-NEAREST NEIGHBOUR (K-NN); K-NEAREST NEIGHBOURS; LOCATION ESTIMATION; PERVASIVE COMPUTING ENVIRONMENT;

LEARNING ALGORITHMS; PATTERN RECOGNITION; STANDARDS; UBIQUITOUS COMPUTING; WI-FI;

ESTIMATION;

EID: 76249107514     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WOWMOM.2005.68     Document Type: Conference Paper

References (8)

1. Bahl, P. and V. Padmanabhan (2000). RADAR: An In-Building RF-Based User Location and Tracking System, Proc. IEEE Infocom 2000
2. Castro P., P. Chiu, et.al. (2001). A Probabilistic Room Location Service for Wireless Networked Environments, UbiComp 2001
3. Ekahau, http://www.ekahau.com/
4. Hightower, J. and G. Borriello (2004). Particle Filter for Location Estimation in Ubiquitous Computing: A Case Study. UbiComp 2004.
5. Kolahdouzan, M. and C. Shahabi (2004). Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases. The 30th VLDB Conference, Toronto, Canada.
6. Mantoro, T. and C. W. Johnson (2003). User Mobility Model in an Active Office. LNCS 2875, EUSAI'03, Eindhoven, The Netherlands.
7. Mitchell, T. M. (1997). Machine learning. Boston, MA, WCB/McGraw-Hill.
8. Smalagic, A. and D. Kogan (2002). Location Sensing and Privacy in A Context-Aware Computing Environment. IEEE Wireless Communications (October 2002).