Data Mining in the Analysis of Ocean-Atmosphere Dynamics in Colombia's Central Caribbean Ocean

This document presents a proposal for the development of an oceanatmosphere dynamic predictive model for the central Caribbean region of Colombia. The proposal is based on temporary data mining techniques and includes the development of a software tool that complements the model. The software tool uses Weka API to implement several algorithms, such as data mining association rules, decision trees, classifiers, artificial neural networks and time series forecasting. The research results demonstrate the predictive power and advantages of using temporary Data Mining, rather than the conventional methods used in climate modeling.