PUMA
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.
 
 
Abstract
(English)
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)


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