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Temporal Data Mining for the Discovery and Analysis of Ocean Climate Indices

Category: Data Management

Overview To predict the effect of the oceans on land climate, Earth Scientists have developed Ocean Climate Indices (OCIs), which are time series that summarize the behavior of selected areas of the Earth's oceans. In the past, Earth scientists have used observation and, more recently, eigenvalue analysis techniques, such as Principal Components Analysis (PCA) and Singular Value Decomposition (SVD), to discover ocean climate indices. This paper has developed an alternative methodology for the discovery of OCIs that overcomes these limitations and is based on clusters that represent ocean regions with relatively homogeneous behavior.

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Publisher
University of Minnesota
File Format
PDF
Date Published
Oct 1, 2008
Format
White Papers
Topics
Data Mining - Analysis

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