In this paper, we consider data mining from large discrete trajectory data. We study closed pattern mining for the class of trajectory envelope patterns.

Abstract—In this paper, we consider data mining from large discrete trajectory data. We study closed pattern mining for the class of trajectory envelope ...

An inductive database for mining temporal patterns in event sequences. ... A novel real-time framework for extracting patterns from trajectory data streams.

In conclusion, the purpose of sequential pattern mining of trajectory data is to find common sequences of locations that different moving objects visited in ...

Trajectory patterns consist of hot regions and the sequential relationships among them, where hot regions refer the spatial regions with a higher density of ...

Jul 5, 2019 · This paper presents a GPS-based trajectory pattern mining system called TPM. Firstly, the TPM can mine urban dense areas via clustering the ...

In this paper, we consider data mining from large discrete trajectory data. We study closed pattern mining for the class of trajectory envelope patterns.

First of all, we preprocess the trajectory data to extract stay points. Secondly, the sequence of stay points are clustered to construct the important places.

May 15, 2019 · These trajectory datasets representing objects' movements provide new opportunities for enhanced spatio-temporal periodic pattern mining.

This study outlined that there are useful patterns in each trajectory that can be emerged from raw GPS data using association rule mining techniques in order to ...