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.

Querying and Reasoning for Spatio-Temporal Data Mining

Manco G;Giannotti F;Renso C
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.
2008
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
9783540751762
Data Mining
Association Rule
Query Language
Spatiotemporal Data
Conjunctive Query
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/137513
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