The DAEDALUS framework: progressive querying and mining of movement data
Contributo in Atti di convegno
Data di Pubblicazione:
2008
Abstract:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Data mining query language; Knowledge discovery; Spatio-tempoiral data mining
Elenco autori:
Ritacco, Ettore; Manco, Giuseppe; Giannotti, Fosca; Renso, Chiara; Ortale, Riccardo; Costa, Giovanni; Trasarti, Roberto
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