Implementation of Mining Trajectory Patterns and Mobility Borders

computer engineering

Some traditional methods of UT pattern mining are inefficient as well as more complicated which only capable of identifying specific type of trajectory pattern from input dataset. We proposed UT-pattern mining framework to address the limitations of previous methods. It contains two phases to mine UT patterns such as, initial pattern mining & pattern forest construction. Clusters of various UT patterns are constructed using Traclus method. This cluster contains initial UT patterns. After pattern forest construction, patterns are classified into different categories such as, time relaxed, time constrained & time independent. Along with the UT pattern discovery & classification proposed system identifies Geographical Mobility Borders. With experimental result system demonstrates the efficiency of UT pattern framework in terms of time and memory.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.