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Querying and Reasoning for Spatio-Temporal Data Mining

Capitolo di libro
Data di Pubblicazione:
2008
Abstract:
This chapter investigates the research issues arising by the quest toward a lan- guage framework, capable of supporting the user in specifying and refining mining objectives, combining multiple strategies, and defining the quality of the extracted knowledge in the specific context of movement data. As a step in this direction, the chapter concentrates on requirements and open issues of a language framework that serves as interface between the analyst and the underlying computational support - trying to bridge the gap from analytical questions and the complexity of the KDD process.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Data Mining; Association Rule; Query Language; Spatiotemporal Data; Conjunctive Query
Elenco autori:
Manco, Giuseppe; Giannotti, Fosca; Renso, Chiara
Autori di Ateneo:
MANCO GIUSEPPE
RENSO CHIARA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/137513
Titolo del libro:
Mobility, Data Mining and Privacy : Geographic Knowledge Discovery
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URL

https://link.springer.com/chapter/10.1007%2F978-3-540-75177-9_13
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