1.

Record Nr.

UNISA996465957703316

Titolo

Advances in Spatial and Temporal Databases [[electronic resource] ] : 12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August  24-26, 2011. Proceedings / / edited by Dieter Pfoser, Yufei Tao, Kyriakos Mouratidis, Mario A. Nascimento, Mohamed Mokbel, Shashi Shekhar, YAN HUANG

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011

ISBN

3-642-22922-0

Edizione

[1st ed. 2011.]

Descrizione fisica

1 online resource (XIV, 518 p.)

Collana

Information Systems and Applications, incl. Internet/Web, and HCI ; ; 6849

Disciplina

005.74

Soggetti

Database management

Earth sciences

Data mining

Application software

Artificial intelligence

Information technology

Business—Data processing

Database Management

Earth Sciences, general

Data Mining and Knowledge Discovery

Information Systems Applications (incl. Internet)

Artificial Intelligence

IT in Business

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Keynote speech: Underexplored research topics from the commercial world / Erik Hoel -- SSCP: mining statistically significant co-location patterns / Sajib Barua, Jörg Sander -- A ontology-based traffic accident risk mapping framework / Jing Wang, Xin Wang.

Sommario/riassunto

This volume constitutes the refereed proceedings of the 12th



International Symposium on Spatial and Temporal Databases, SSTD 2011, held in Minneapolis, USA, in August 2011. The 24 revised full papers presented together with one keynote, 8 short papers, and 8 demonstration papers, were thoroughly reviewed and selected from a total of 63 research submissions, 21 vision and challenges submissions and 16 demonstration submissions. The papers are organized in topical sections on knowledge discovery; spatial networks; access methods; moving objects and sensor networks; multidimensional query processing; and temporal and streaming data.