Propagation Routes Analysis of HPAI Outbreaks using Sequential Pattern Mining

Abstract

Highly pathogenic avian influenza (HPAI) virus can spread rapidly, resulting in high mortality and severe economic damage. To minimize the damage incurred from such diseases, it is necessary to develop technology for analysing livestock disease and predicting livestock disease propagation. In this study, we propose a novel big data analytics model using extensive volumes of livestock disease occurrence data accumulated over an extended period. In particular, we describe a sample process based on a specific scenario that elicits information that generates sequential dissemination routes of HPAI outbreaks by applying sequential pattern mining in this paper. 2015 18-19, December, ISCC