How can knowledge discovery methods uncover spatio-temporal patterns in environmental data?

Monica Wachowicz

doi:10.1117/12.381736

6 April 2000 How can knowledge discovery methods uncover spatio-temporal patterns in environmental data?

Monica Wachowicz

Proceedings Volume 4057, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II; (2000) https://doi.org/10.1117/12.381736
Event: AeroSense 2000, 2000, Orlando, FL, United States

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).

Citation Download Citation

Monica Wachowicz "How can knowledge discovery methods uncover spatio-temporal patterns in environmental data?", Proc. SPIE 4057, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, (6 April 2000); https://doi.org/10.1117/12.381736

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