The application of social network mining to cattle movement.Analysis: introducing the predictive trend mining framework.Puteri Nohuddin1 - Frans Coenen2 - Rob Christley.Abstract This paper describes a predictive social network.Mining framework which is demonstrated using the Great.Britain cattle movement datasets. The proposed framework the predictive, trend mining framework (PTMF), is.Used to analyse episodes of time-stamped social network.Data. The PTMF has two main components (1) a frequent.Pattern trend analysis component that efficiently identifies.Temporal frequent patterns and trends and also provides a.Mechanism for clustering and analysing these patterns and.Trends so as to detect dynamic changes within the cattle.Movement, network and (2) the predictive modelling.Component for forecasting the percolation of information.Or data across the network. The PTMF incorporates a.Number of novel elements including mechanisms to: (1).Identify temporal frequent patterns and trends, (2 cluster.)Large sets of trends, (3) analyse temporal clusters for pattern trend change detection, (4) visualise these changes.Using pattern migration network maps and (5) predict the.Paths whereby information moves across the network over.Time.Keywords Social network mining Trend mining and.Analysis Predictio.
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