Istituto di Scienza e Tecnologie dell'Informazione     
Trasarti R. DAEDALUS: a knowledge discovery analysis framework for movement data. In: SEBD 2008 - Italian Symposium on Advanced Database Systems (Palermo, 20 Luglio 2008). Atti, Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2008.
In this work we propose DAEDALUS, a knowledge discovery sys- tem that enables a uniform querying of movement data and patterns. Such sys- tem is founded on a formal framework that defines knowledge discovery exe- cution process as a progressive combination of mining and querying operators. The core component of DAEDALUS is the query language that extends SQL in two respects, namely a pattern definition operator and the capability of uni- formly manipulate both raw data and unveiled patterns. DAEDALUS is specifi- cally focussed on movement data and has been implemented as a query execution layer on top of the Hermes Moving Object Database. A qualitative evaluation of the system will show the power of DAEDALUS in progressive mining task over movement data.
Subject Data Mining
Data Mining Query Language
H.2.8 Database Management
90-04 Explicit machine computation and programs (not the theory of computation or programming)

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