Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013 |
| Seiten | 510-513 |
| Seitenumfang | 4 |
| Publikationsstatus | Veröffentlicht - Nov. 2013 |
| Veranstaltung | 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013 - Orlando, FL, USA / Vereinigte Staaten Dauer: 5 Nov. 2013 → 8 Nov. 2013 |
Publikationsreihe
| Name | GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems |
|---|
Abstract
In this paper we aim to recognize a priori unknown group movement patterns. We propose a constellation-based approach to extract repetitive relative movements of a constant group, which are allowed to be rotated, translated or differently scaled. To this end, we record a sequence of constellations, which are used for describing the movements relatively. We deal with uncertainties, and similarities of constellations respectively, by clustering the constellations. Further, we have developed a sequence mining algorithm, which uses the clustering results and tree-like data structures to extract the requested patterns from the sequence. Finally, this approach is applied to different datasets containing real trajectory data provided by different tracking devices. By this way, we want to show its portability to different use cases.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Erdoberflächenprozesse
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Modellierung und Simulation
- Informatik (insg.)
- Computergrafik und computergestütztes Design
- Informatik (insg.)
- Information systems
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- BibTex
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21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013. 2013. S. 510-513 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Mining group movement patterns
AU - Feuerhake, Udo
AU - Sester, Monika
PY - 2013/11
Y1 - 2013/11
N2 - In this paper we aim to recognize a priori unknown group movement patterns. We propose a constellation-based approach to extract repetitive relative movements of a constant group, which are allowed to be rotated, translated or differently scaled. To this end, we record a sequence of constellations, which are used for describing the movements relatively. We deal with uncertainties, and similarities of constellations respectively, by clustering the constellations. Further, we have developed a sequence mining algorithm, which uses the clustering results and tree-like data structures to extract the requested patterns from the sequence. Finally, this approach is applied to different datasets containing real trajectory data provided by different tracking devices. By this way, we want to show its portability to different use cases.
AB - In this paper we aim to recognize a priori unknown group movement patterns. We propose a constellation-based approach to extract repetitive relative movements of a constant group, which are allowed to be rotated, translated or differently scaled. To this end, we record a sequence of constellations, which are used for describing the movements relatively. We deal with uncertainties, and similarities of constellations respectively, by clustering the constellations. Further, we have developed a sequence mining algorithm, which uses the clustering results and tree-like data structures to extract the requested patterns from the sequence. Finally, this approach is applied to different datasets containing real trajectory data provided by different tracking devices. By this way, we want to show its portability to different use cases.
KW - clustering
KW - constellation
KW - movement patterns
KW - pattern mining
KW - spatio-temporal analysis
UR - http://www.scopus.com/inward/record.url?scp=84893494590&partnerID=8YFLogxK
U2 - 10.1145/2525314.2525318
DO - 10.1145/2525314.2525318
M3 - Conference contribution
AN - SCOPUS:84893494590
SN - 9781450325219
T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
SP - 510
EP - 513
BT - 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013
T2 - 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013
Y2 - 5 November 2013 through 8 November 2013
ER -