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ADC
2007
Springer
124views Database» more  ADC 2007»
13 years 11 months ago
Interoperability for Geospatial Analysis: a Semantics and Ontology-based Approach
Information extraction and integration from heterogeneous, autonomous data resources are major requirements for many spatial applications. Geospatial analysis for scientific disco...
Zarine Kemp, Lei Tan, Jacqueline L. Whalley
EUSFLAT
2009
163views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
A Fuzzy Set Approach to Ecological Knowledge Discovery
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
Arkadiusz Salski
VLDB
1998
ACM
312views Database» more  VLDB 1998»
13 years 9 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
ESM
2000
13 years 7 months ago
A tool for controlled knowledge discovery in spatial domains
A data simulator that can facilitate the development of improved sampling and analysis procedures for spatial analysis is proposed. The simulator, implemented in MATLAB, provides ...
Dragoljub Pokrajac, Zoran Obradovic, Tim Fiez
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
13 years 7 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo