PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Ortale R., Ritacco E., Pelekis N., Trasarti R., Costa G., Giannotti F., Manco G., Renso C., Theodoridis Y. The DAEDALUS framework: progressive querying and mining of movement data. In: ACM GIS 2008 - 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Irvine, California, USA, 10 novembre 2008). Proceedings, article n. 52. ACM, 2008.
 
 
Abstract
(English)
In this work we propose DAEDALUS, a formal framework and system, specifically focussed on progressive combination of mining and querying operators. The core component of DAEDALUS is the MO-DMQL query language that extends SQL in two respects, namely a pattern definition operator and the capability to uniform manipulating both raw data and unveiled patterns. DAEDALUS system is specifically focussed on movement data and has been implemented as a query execution layer on top of the Hermes Moving Object Database. The expressiveness and usefulness of the MODMQL language as well as the computational capabilities of DAEDALUS are qualitatively evaluated by means of a case study.
URL: http://portal.acm.org/citation.cfm?id=1463434.1463497&coll=ACM&dl=ACM&type=series&idx=SERIES10657&part=series&WantType=Proceedings&title=GIS&CFID=38024632&CFTOKEN=82660451
Subject Data mining query language
Knowledge discovery
Spatio-tempoiral data mining
H.2.8 Database Applications


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional