This work presents a proposal to structure the data of fishes collected in the region of
hydroelectric plant Luís Eduardo Magalhães (or hydroelectric plant of Lajeado), during
the 1999-2012 period and also a tool development, called Filhote, for the administration
of these data. The main purpose is to provide an efficient way to manipulate and store
the obtained data, enabling the construction of time series aggregating results from
future collections. To this intent, it was developed a data model for the structured
storage of this set, aiming to provide the basis for studies on the monitoring of fish
fauna in environments with and without reservoir. Taking this model as the basis, the
Filhote tool has been integrated into the application of Data Mining WEKA in order to
provide the researcher a means of data analysis through the generation of association
rules. The data model and the developed tool are viable to treatment of existing data
and they are presented as a good alternative for projects that collect data in this same
direction, enabling the expansion of the storage modules, as well as the inclusion of
new data mining algorithms.
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