An Online Data Compression Algorithm for Trajectories (An OLDCAT)
Ting Wang · International Journal of Information and Education Technology · 2013
In the regime of "Big Data", data compression techniques take crucial part in preparation phase of data analysis.It is challenging because statistical properties and other characteristics need to be preserved while the size of data need to be reduced.In particular, to compress trajectory data, movement status (such as position, direction, and speed etc.) need to be retained.Moreover, for the increasing demand of real-time processing capability, "online" algorithms are becoming more desirable in data analysis.In this paper, we