2009 | OriginalPaper | Buchkapitel
Feature Clustering for Data Steering in Dynamic Data Driven Application Systems
verfasst von : Alec Pawling, Greg Madey
Erschienen in: Computational Science – ICCS 2009
Verlag: Springer Berlin Heidelberg
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In this paper, we describe how feature clustering on real-world cell-phone data can be used to locate the impact area of emergency events. We first examine the effect of two emergency events on the call activity in the areas surrounding the events. We then investigate how the time series of the affected areas behave relative to the time series of their respective neighboring areas. Finally, we examine the differences in hierarchical clusterings of the time series of the affected areas and neighboring areas.