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Mining Patterns from 9-1-1 Calls Dataset
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 11 - Number 7 |
| Year of Publication: 2016 |
| Authors: Athithyaa Selvam, Balasubramanian Thiagarajan, Thivakaran T. K. |
10.5120/ijais2016451632
|
Athithyaa Selvam, Balasubramanian Thiagarajan, Thivakaran T. K. . Mining Patterns from 9-1-1 Calls Dataset. International Journal of Applied Information Systems. 11, 7 ( Dec 2016), 35-40. DOI=10.5120/ijais2016451632
Abstract
Everybody encounters different kinds of emergency circumstances in their day-to-day life. A 9-1-1 call may be a consequence of a natural disaster, emergency medical need, fire attack, crime or an individual or group of persons needing some form of immediate assistance. Strategy makers are faced with difficult decisions of providing resources to handle these emergencies, and due to lack of data, they face many problems. In this paper, a model is developed using data mining techniques for identifying patterns based on an analysis of the characteristics of 9-1-1 call activity from Montgomery County 9-1-1 calls dataset. This analysis is useful for allocating emergency responders and helps them take proactive steps in their response efforts. The model will also help strategy makers anticipate the occurrences of emergencies and enable them to effectively handle the emergency by appropriate allocation of resources.
References
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