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Jean Louis Monino
Department of Economics, TRIS Laboratory, University of Montpellier
Soraya Sedkaoui
Vol. 5 No. 3 (2016), Articles, pages 63-71
Accepted: Nov 15, 2016
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This work explores a new application which can effectively meet different localization accuracy requirements of most data location services studying the interactions between customers and suppliers. It helps to have the status or position of what is sought with respect to an address that summarizes thus a reference point which is the point of research. This proposal explains what snail algorithm is and how we can benefit from using it for the localization of information for business applications especially in the field of analytics. A business application using our algorithm has been developed by the company (located in the department of Herault, Montpellier city) to illustrate its feasibility and availability. The results show that our algorithm can improve the localization accuracy.


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Addlesee M., Curwen R., Hodges S. et al, Implementing a Sentient Computing System, IEEE Computer, vol. 34, no. 8, pp. 50-56, 2001.

Antoni J.P., Urban sprawl modelling : A methodological approach, Published in Cybergeo, European Journal of Geography, 2002, Topics, 12th European Colloquium on Quantitative and Theoretical Geography.St-Valery-en-Caux, France, September 7-11, 2001. St-Valery-en-Caux, France, September 7-11, 2001.

Cranshaw, J., Schwartz, R., Hong, J. I, and Sadeh, N., The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City. In Proceedings of ICWSM 2012, 2012.

Hoey J., Chantier M. J., Trucco E. et al, Tracking using flock of features, with application to assisted handwashing, British Machine Vision Conference BMVC, pp. 367-376, 2006.

Langlois, P. et Lajoie G., Cartographie par carroyage et précision spatiale, Mappemonde, vol. 49, no 1, p. 20-23, 1998.

Mazurek H. et Dayre P., Analyse de l'utilisation du sol par la méthode du carroyage: le District Urbain de Montpellier, Mappemonde, n°88/3, GIP. RECULS, pp. 27-30, 1988.

Mcnulty E., Big data: the seven V's, available at:, 2014.

Monino L.L., Sedkaoui S., Matouk J., Big data, éthique des données, et entreprises, Les Cahiers du CEDIMES, Dossier "Economie et gouvernance", vol. 8, no. 2, available at:, 2014.

Song, C., Qu, Z., Blumm, N., and Barabási, AL, Limits of Predictability in Human Mobility, Science 327, no. 5968, 1018-1021, 2010.

Zhang, D., Guo, B., Li, B., and Yu, Z. Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area, Ubiquitous Intelligence and Computing, 4-18, 2010.

Zheng, Y., Zhang, L., Ma, Z., Xie, X., and Ma, W. Y, Recommending Friends and Locations Based on Individual Location History, ACM Transactions on the Web (TWEB) 5, no. 1, 5, 2011.

Zhou J., and Shi J., RFID localization algorithms and applications—a review, Journal of Intelligent Manufacturing, vol. 20, no. 6, pp. 695-707, 2008.