Данные и методы интеллектуального анализа данных для исследования окружающей природной среды

Abstract

Rodriges Zalipynis R.A. Data and data mining methods for natural environment research. This paper gives a comprehensive survey of the state-of-the-art data mining techniques developed to help Earth scientists to advance in their efforts to better understand the environment. The paper al- so tries to bridge the interdisciplinary gap between computer and Earth scientists by reasoning the application of data mining techniques and explaining mechanisms of the underlying environmental phenomena. First, author analyzes available environmental data along with the ways of collecting, storing and processing it, including Ukrainian network for collection of meteorological data, ground, marine and satellite data sources, vegetation indices and reanalysis archives. Other sec- tions are devoted to the discovery of teleconnections with shared nearest neighbor clustering algo- rithm and deriving association rules between anomalous events abstracted from meteorological pa- rameters and vegetation indices with Apriori algorithm. The paper can serve as a good place to start from learning about this interdisciplinary research.