Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system that takes advantage from this taxonomic knowledge on spatial data to mine multi-level spatial association rules. A large amount of rules is typically discovered even from small set of spatial data. In this paper we present a graph-based visualization that supports data miners in the analysis of multi-level spatial association rules discovered by ARES and takes advantage from hierarchies describing the same spatial object at multiple levels of granularity. An application on real-world spatial data is reported. Results show that the use of the proposed visualization technique is beneficial.
Analyzing multi-level spatial association rules through a graph-based visualization / Appice, Annalisa; Buono, Paolo. - 3533(2005), pp. 448-458.
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Titolo: | Analyzing multi-level spatial association rules through a graph-based visualization |
Autori: | |
Data di pubblicazione: | 2005 |
Rivista: | |
Citazione: | Analyzing multi-level spatial association rules through a graph-based visualization / Appice, Annalisa; Buono, Paolo. - 3533(2005), pp. 448-458. |
Abstract: | Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system that takes advantage from this taxonomic knowledge on spatial data to mine multi-level spatial association rules. A large amount of rules is typically discovered even from small set of spatial data. In this paper we present a graph-based visualization that supports data miners in the analysis of multi-level spatial association rules discovered by ARES and takes advantage from hierarchies describing the same spatial object at multiple levels of granularity. An application on real-world spatial data is reported. Results show that the use of the proposed visualization technique is beneficial. |
Handle: | http://hdl.handle.net/11586/114115 |
ISBN: | 978-3-540-26551-1 |
Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |