Automated Land Use Identification using Call Detail Records

Enrique Frias-Martinez
Enrique Frias-MartinezScientific Researcher at Telefonica Research
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using Cell-phone Records ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object]
1100 Base Transceiver Stations.
Each CDR contains: ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object],[object Object]
Validity index: maximizes the minimum inter-cluster distance and minimizes the average intra-cluster distance. ,[object Object],[object Object]
[object Object]
[object Object],[object Object],[object Object],[object Object]
[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
Classification ,[object Object]
Proposed classification scheme: the class label that minimize the euclidean distance between a BTS signature and itself is assigned as the class of the area.
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Automated Land Use Identification using Call Detail Records

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  • 27. Proposed classification scheme: the class label that minimize the euclidean distance between a BTS signature and itself is assigned as the class of the area.
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  • 33. “ Robust Land Use Characterization of Urban Landscapes using Cell Phone Data” V. Soto, E. Frias-Martinez The First Workshop on Pervasive Urban Applications (PURBA), in conjunction with the Ninth International Conference on Pervasive Computing in San Francisco, CA, USA on June 12-15, 2011. www.enriquefrias-martinez.info/publications [email_address]
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