Discovery of Regularized Areas with Maximal Confidence from Location Data
Author:
Affiliation:
1. Artificial Intelligence Laboratory, Fujitsu Laboratories Ltd.
2. Graduate School of Information Science and Technology, Hokkaido University.
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/34/3/34_D-I56/_pdf
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4. [Cressie 93] Cressie, N. A. C.: Statistics for Spatial Data, Wiley Series in Probability and Statistics, pp. 381--452, John Wiley & Sons, Inc., Hoboken, NJ, USA (1993)
5. [Derekenaris 01] Derekenaris,G., Garofalakis, J., Makris, C., Prentzas, J., Sioutas, S., and Tsakalidis, A.: Integrating GIS, GPS and GSM technologies for the effective management of ambulances, Computers, Environment and Urban Systems, Vol.25, No.3, pp. 267--278 (2001)
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