A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos

Zitieren

Dateien zu dieser Ressource

Prüfsumme: MD5:5bf9f38951a329641d5887197993a0de

KISILEVICH, Slava, Daniel A. KEIM, Lior ROKACH, 2010. A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos. In: PAINHO, Marco, ed., Maribel Yasmina SANTOS, ed., Hardy PUNDT, ed.. Geospatial Thinking. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 163-182. ISBN 978-3-642-12325-2. Available under: doi: 10.1007/978-3-642-12326-9_9

@inproceedings{Kisilevich2010-03-31Novel-6012, title={A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos}, year={2010}, doi={10.1007/978-3-642-12326-9_9}, number={0}, isbn={978-3-642-12325-2}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture Notes in Geoinformation and Cartography}, booktitle={Geospatial Thinking}, pages={163--182}, editor={Painho, Marco and Santos, Maribel Yasmina and Pundt, Hardy}, author={Kisilevich, Slava and Keim, Daniel A. and Rokach, Lior} }

Keim, Daniel A. Rokach, Lior Kisilevich, Slava 2011-10-31T23:25:04Z application/pdf 2010-03-31 2011-03-24T16:08:44Z eng deposit-license Keim, Daniel A. Kisilevich, Slava Also publ. in: Geospatial thinking / Marco Painho ... (Eds.). - Berlin; Heidelberg : Springer, 2010. - pp. 163-182. - ISBN 978-3-642-12325-2 In this paper we present a novel approach for analyzing the trajectories of moving objects and of people in particular. The minded data from these sequences can provide valuable information for understanding the surrounding locations, discovering attractive place or mining frequent sequences of visited places. Based on geotagged photos, our framework<br /><br />mines semantically annotated sequences. Our framework is capable of mining semantically annotated sequences of any length to discover patterns that are not necessarily immediate antecedents. The approach consists of four main steps. In the first step, every photo location is semantically annotated by assigning it to a known nearby point of interest. In the<br /><br />second step, a density-based clustering algorithm is applied to all unassigned photos, creating regions of unknown points of interest. In the third step, a travel sequence of every individual is built. In the final step, travel sequence patterns are mined using the semantics that were obtained from the first two steps. Case studies of Guimarães, Portugal (where the conference takes place) and Berlin, Germany demonstrate the capabilities of the proposed framework. Rokach, Lior A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos

Dateiabrufe seit 01.10.2014 (Informationen über die Zugriffsstatistik)

12453.6.pdf 254

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto