Predictive Big Data Analytics for Service Requests: A Framework

Abstract

Nowadays, valuable big data are generated and collected rapidly from numerous rich data sources. Following the initiatives of open data, many organizations including municipal governments are willing to share their data such as open big data regarding non-emergency city service requests from their residents. Big data analytics on these open big data can be for social good. Hence, in this article, we present a framework for predictive big data analytics for service requests. The framework mines historical open big data to discover patterns about service requests, and predicts the demands for these services in the future. The discovered knowledge and predictions may provide policy makers deeper understanding of their data and requested services so that appropriate actions could take place. Evaluation on open big data from the City of Winnipeg demonstrates the usefulness of our framework for conducting predictive big data analytics for service requests.