Data Mining in Hydrology
نویسندگان
چکیده
A large number of data mining techniques and tools are available for extracting trends, characteristics or rules from data. A selection of those relevant to hydrology are covered in this paper. Clustering, classification, association rule extraction and dominant mode analysis and the ways in which each family of techniques could be used in a hydrological modelling context are considered. In addition to demonstrating the relevance of data mining techniques to the science of hydrological modelling, two specific applications will be discussed. They illustrate the possibilities for improving existing modelling techniques by integrating a data mining approach.
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