Name
Title | ||
|---|---|---|
Exploring Human Movement Behaviour Based on Mobility Association Rule Mining of Trajectory Traces. |
Abstract | ||
|---|---|---|
With the emergence of location sensing technologies there is a growing interest to explore spatio-temporal GPS (Global Positioning System) traces collected from various moving agents (ex: mobile-users, GPS-equipped vehicles etc.) to facilitate location-aware applications. This paper, therefore focuses on finding meaningful patterns from spatio-temporal data (GPS log) of human movement history and measures the interestingness of the extracted patterns. An experimental evaluation on GPS data-set of an academic campus demonstrates the efficacy of the system and its potential to extract meaningful rules from real-life dataset. |
Year | Venue | Field |
|---|---|---|
2017 | ISDA | Computer science,Association rule learning,Global Positioning System,Artificial intelligence,Database transaction,Trajectory,Machine learning |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
11 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shreya Ghosh | 1 | 67 | 9.04 |
| Soumya Kanti Ghosh | 2 | 345 | 39.91 |