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Handling missing values in GPS surveys using survival analysis

 
: May, M.; Körner, C.; Hecker, D.; Pasquier, M.; Hofmann, U.; Mende, F.

:
Postprint urn:nbn:de:0011-n-1016285 (429 KByte PDF)
MD5 Fingerprint: 739cae81661f28a6d9e3cd07cd7eaf9c
Copyright Association for Computing Machinery (ACM)
Created on: 6.8.2009


Association for Computing Machinery -ACM-, Special Interest Group on Knowledge Discovery and Data Mining -SIGKDD-:
Third International Workshop on Data Mining and Audience Intelligence for Advertising, ADKDD 2009 : Paris, France, 28.06.-01.07.2009
New York: ACM, 2009
ISBN: 978-1-60558-671-7
pp.78-84
International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD) <3, 2009, Paris>
English
Conference Paper, Electronic Publication
Fraunhofer IAIS ()
GPS; missing value; survival analysis; mobility mining; outdoor advertising

Abstract
GPS technology has made it possible to evaluate the performance of outdoor advertising campaigns in an objective manner. Given the GPS trajectories of a sample of test persons over several days, their passages with arbitrary poster campaigns can be calculated. However, inference is complicated by the early dropout of persons. Other than in most demonstrations of spatial data mining algorithms where the structure of the data sample is usually disregarded, poster performance measures such as reach and gross impressions evolve continuously over time and require non-intermittent observations. In this paper, we investigate the applicability of survival analysis to compensate for missing measurement days. We formalize the task of modeling the visit potential of geographic locations based on trajectory data as our variable of interest results from dispersed events in space-time. We perform experiments on the cities of Zurich and Bern simulating different dropout mechanisms and dropout rates and show the adequacy of the applied method. Our modeling technique is at present part of a business solution for the Swiss outdoor advertising branch and serves as pricing basis for the majority of Swiss poster locations.

: http://publica.fraunhofer.de/documents/N-101628.html