On-Demand Forecasting of Stock Prices Using a Real-Time Predictor
IEEE Transactions on Knowledge and Data Engineering
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Spatiotemporal analysis of 9-1-1 call stream data
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Using 9-1-1 call data and the space-time permutation scan statistic for emergency event detection
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Towards ubiquitous computing with call prediction
ACM SIGMOBILE Mobile Computing and Communications Review
Behavior-based adaptive call predictor
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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A multi-dimensional linear predictor of 9-1-1 (emergency) call volumes was built and used to automatically detect emergency events. This is illustrated by analyzing the emergency calls generated in two emergency events in the San Francisco Bay Area. The predictor can help emergency service providers recognize the occurrence of anomalously large numbers of 9-1-1 calls and subsequently map the spatiotemporal extent of wide-scale emergency events such as earthquakes and fires, complementing the effort of individual 9-1-1 emergency call takers.