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The bigger this percentage, the better is the recommendation system under analysis.
The lower this value, the better is the recommendation system under analysis.
The energy and economic performance of the system under analysis was investigated, using different time bases (day, week, month, year).
Therefore, the model obtained for the system under analysis will be described by a set of linguistic rules, easily interpretable.
In engineering practice, one is usually interested in evaluating the probability of failure of the system under analysis.
Let S={s 1,s 2,…,s t } be a set of t systems and s x ∈S a system under analysis.
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Conversely, the systems under analysis present differences in terms of (mathcal {S} cope.
We devise an experimental methodology to determine the parameters of the SECRET model for the systems under analysis.
An economic model is proposed, in order to assess the operating and capital costs of the systems under analysis.
The remainder of this section first presents the experimental methodology and then the systems under analysis and the results of our experiments for each of them.
As we discuss in the following, none of the systems under analysis exhibits periodic behaviors and none of them reports only on content change.
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