Feature Clustering for Data Steering in Dynamic Data Driven Application Systems

Authors:
Alec Pawling;Greg Madey
Affiliations:
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, USA 46556;Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, USA 46556
Venue:
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Year:
2009

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Abstract

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.