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- W1984224877 abstract "This paper proposes the integration of KDD, GVis and STDB as a long-term strategy, which will allow users to apply knowledge discovery methods for uncovering spatio-temporal patterns in environmental data. The main goal is to combine innovative techniques and associated tools for exploring very large environmental data sets in order to arrive at valid, novel, potentially useful, and ultimately understandable spatio-temporal patterns. The GeoInsight approach is described using the principles and key developments in the research domains of KDD, GVis, and STDB. The GeoInsight approach aims at the integration of these research domains in order to provide tools for performing information retrieval, exploration, analysis, and visualization. The result is a knowledge-based design, which involves visual thinking (perceptual-cognitive process) and automated information processing (computer-analytical process).© (2000) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
- W1984224877 created "2016-06-24" @default.
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- W1984224877 date "2000-04-06" @default.
- W1984224877 modified "2023-09-24" @default.
- W1984224877 title "<title>How can knowledge discovery methods uncover spatio-temporal patterns in environmental data?</title>" @default.
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- W1984224877 doi "https://doi.org/10.1117/12.381736" @default.
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