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Abstract: Advances in geographical information systems (GIS) and supporting data collection technology has resulted in the rapid collection of a huge amount of spatial data. However, known data mining techniques are unable to fully extract knowledge from high dimensional data in large spatial databases, while data analysis in typical knowledge discovery software is limited to non-spatial data. Therefore, the aim of the software system for spatial data analysis and modeling (SDAM) presented in this... (Update)
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BibTeX entry: (Update)
@inproceedings{ lazarevic00software,
author = "Aleksandar Lazarevic and Tim Fiez and Zoran Obradovic",
title = "A Software System for Spatial Data Analysis and Modeling",
booktitle = "{HICSS}",
year = "2000",
url = "citeseer.ist.psu.edu/486956.html" }
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Documents on the same site (http://www.eecs.wsu.edu/~alazarev/pub_list.htm):
Clustering-Regression-Ordering Steps for Knowledge Discovery in.. - Xiaowei (1999) (Correct)
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