| dc.description.abstract | With the enormous growth of information in the digital age, especially with
the presentation of large systems and cloud computing or inter-cloud computing
systems, the work of managing those systems become more and more challenging and
time consuming, hence depend deeply on supporting tools. There are several new
technique that being develop based on machine learning to help solving that problems.
However those machine learning algorithm does still need further investigation since
it is not only heavily depends on the characteristic of data, but also the training
progress.
Hence, it is important to have an overview of evaluation to find which the
most suitable model is for these specific dataset. This thesis provide the information
on those aspects regarding the evaluation and optimization of those predictive models. | en_US |
