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Predictive Analytics for Thermal Coal Prices Using Neural Networks … 305

Figure 1. General Research framework.
Once the data is obtained from different sources, a process of cleaning, organizing
and storing starts, followed by its analytics and implementation. These are tools that help
handle data volume and diversity and imprecisions and provide robust solutions. The
techniques of data mining and predictive analytics help the enterprise make a better
decision-making process.
Through the Delphi methodology the most influential thermal coal price variables are
determined, then historical data of these variables (25 years) is collected and data mining
will verify their order of importance and will predict the price of thermal coal as shown in
Figure 2.

Figure 2. Methodology of this research.