plotExperiment1Test

<p>dataframe with the results of all the metrics in Experiment 1.</p>

allmetrics

<p>This function plots the results reported for a single given test in "Experiment 1" in Acosta, M., Vidal, M. E., &amp; Sure-Vetter, Y. (2017) &lt;doi:10.1007/978-3-319-68204-4_1&gt;.
Experiment 1 compares the performance of querying approaches when using metrics defined in the literature (total execution time, time for the first tuple, throughput, and completeness) and the metric dieft@t.</p>

diefficiency

dieft

An implementation of the metrics dief@t and dief@k to measure the diefficiency (or continuous efficiency) of incremental approaches, see Acosta, M., Vidal, M. E., & Sure-Vetter, Y. (2017) <doi:10.1007/978-3-319-68204-4_1>. The metrics dief@t and dief@k allow for measuring the diefficiency during an elapsed time period t or while k answers are produced, respectively. dief@t and dief@k rely on the computation of the area under the curve of answer traces, and thus capturing the answer rate concentration over a time interval.

Maribel Acosta

dief

Metrics for Continuous Efficiency

plotExperiment1Test function

Generate radar plots that compare dief@t with other benchmark metrics in a specific test as in &lt;doi:10.1007/978-3-319-68204-4_1&gt; — plotExperiment1Test

plotExperiment1Test: Generate radar plots that compare dief@t with other benchmark metrics in a specific test as in <doi:10.1007/978-3-319-68204-4_1>

Description

Usage

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Examples