Spatiotemporal Modeling and Analysis—Introduction and Overview
| dc.contributor.author | Körner, Christine | |
| dc.contributor.author | May, Michael | |
| dc.contributor.author | Wrobel, Stefan | |
| dc.date.accessioned | 2018-01-08T09:15:58Z | |
| dc.date.available | 2018-01-08T09:15:58Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | Over the past five to seven years the analysis of trajectory data has established itself as an independent research discipline within the area of data mining. In this article we provide an overview on data characteristics, state-of-the-art preprocessing and analysis methods of trajectory data. We conclude the article with a collection of challenges that arise due to the increasing variety of spatiotemporal data sources and which have to be solved for the application of spatiotemporal analysis methods in practice. | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11301 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 26, No. 3 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.subject | Mobility mining | |
| dc.subject | Spatiotemporal data | |
| dc.title | Spatiotemporal Modeling and Analysis—Introduction and Overview | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 221 | |
| gi.citation.startPage | 215 |