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Abstract: The constant increase in use of geographic data in different application domains has resulted in large amounts of data stored in spatial databases and in the desire of data mining. Many solutions for spatial data mining have been proposed. Most create data mining languages or extend existing query languages to support data mining operations. This paper presents an interoperable framework for spatial data preparation for data mining. The approach is based on reuse of standard definitions such as ... (Update)
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BibTeX entry: (Update)
@misc{ paulo-reusebased,
author = "Vania Bogorny Paulo",
title = "A Reuse-based Spatial Data Preparation Framework for Data Mining",
url = "citeseer.ist.psu.edu/745081.html" }
Citations (may not include all citations):481 Fundamentals of Database Systems (context) - Elmasri, Navathe - 2003
36 Spatial Data Mining: A Database Approach - Ester, Kriegel - 1997
11 OpenGIS simple features specification for SQL (context) - Consortium - 1999
6 and Zantinge (context) - Adriaans - 1996
5 A Data Preparation Framework based on a Multidatabase Langua.. - Sattler, Schallehn - 2001
1 From data mining to discovery knowledge in databases (context) - Fayyad, Piatetsky-Shapiro et al. - 1996
1 Geographic Data Representation for Knowledge Discovery (context) - Bogorny, Alvares - 2005
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