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The data mining procedures used in this process can be enhanced by employing intelligent agents.
[6 10] Turning this large volume of information into knowledge could be performed in multiple ways using multiple data mining procedures.
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.
In this study, we develop an expert system framework that utilizes text and data mining procedures for analyzing innovation through textual patent data.
Such procedures effectively remove any need to navigate from the landing page associated with the DOI to find and recover data and open up possibilities for large scale automated data mining procedures based just on e.g. top-level collection DOIs.
To the extent that learning resources overlap, we are able to reconstruct, through data mining procedures, which learning resource (LR) is best tailored to particular KCs for particular categories of learners (L).
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We divide the shopping data mining procedure into two phases.
A pre-requisite to any data mining procedure is a data curation stage [11].
This data mining procedure has to be carried out just once in an off-line training process.
Experimental and numerical results are combined into a multimodal dataset and sampled utilizing a non-local data mining procedure.
This research proposes an original offline data mining procedure that takes advantage of the quality of these data to analyze the bike usage casuistry within a sharing scheme.
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