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Clinical Decision Support Systems (CDS) are built to make biomedical literature efficiently accessible to clinicians. The typical queries submitted to these systems are medical cases which describe various aspects of a patient health including symptoms, lab tests, and previous treatments. Because these queries are expected to be long and may contain some ambiguous words, performing some reformulation...
Several query performance prediction approaches have been proposed to estimate the retrieval effectiveness of user queries. One limitation in these approaches is that they estimate query performance without any consideration of the type of features implemented in the retrieval systems used to answer those queries. In this work, aiming to address this challenge, we use a learning based approach that...
Modeling workflow performance is crucial for finding optimal configuration parameters and optimizing execution times. We apply the method of surrogate-based modeling to performance tuning of MapReduce jobs. We build a surrogate model defined by a multivariate polynomial containing a variable for each parameter to be tuned. For illustrative purposes, we focus on just two parameters: the number of parallel...
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