Applying and refitting models using the validation data set protects against model over-fit that can result from aggressive use of data mining procedures.
Here we suggest that there is room for creative minds to imagine innovative ways to apply these techniques and to merge them with data mining procedures.
Additional GO terms were obtained by examination of related databases assisted by automated data mining procedures [ 64].
The data mining procedures used in this process can be enhanced by employing intelligent agents.
As traditional statistical methods are gradually being defeated by both the amount of data and the general absence of underlying hypotheses, data mining procedures are becoming increasingly popular and user-friendly.
However, once data mining algorithms are designed or modified for parallel computing, it is the information exchange between different data mining procedures that may incur bottlenecks.
[6 10] Turning this large volume of information into knowledge could be performed in multiple ways using multiple data mining procedures.
Details about the data mining procedures are presented in Table 1.
Since their first application, data mining procedures have progressively been tweaked to accommodate various types of information, including social science- and biological data.
The annotation sheet contains detailed information on the Blast2GO annotation process from the BLAST step up to the augmentation by ANNEX [a data mining procedure to annotate from links between molecular function and biological process/cellular component GO terms (Myhre et al., 2006)] and InterProScan.
We began by applying a general purpose data mining procedure (Random Forest) to find a list of important variables that could plausibly affect the chosen dependant variables and black box models that relate these variables to the four BOPH.
