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Querying and Reasoning for Spatiotemporal Data Mining

Chapter
Publication Date:
2007
abstract:
In the previous chapters, we studied movement data from several perspectives: the application opportunities, the type of analytical questions, the modeling requirements, and the challenges for mining. Moreover, the complexity of the overall analysis process was pointed out several times. The analytical questions posed by the end user need to be translated into several tasks such as choose analysismethods, prepare the data for application of these methods, apply the methods to the data, and interpret and evaluate the results obtained.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Spatio temporal data mining
List of contributors:
Baglioni, Miriam; Manco, Giuseppe; Giannotti, Fosca
Authors of the University:
BAGLIONI MIRIAM
MANCO GIUSEPPE
Handle:
https://iris.cnr.it/handle/20.500.14243/97863
Book title:
Mobility, Data Mining, and Privacy
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