Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters

Y Sun, D Cheng, T Yang, Y Ji, S Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
To ensure the performance of large-scale datacenters, operators need to monitor up to tens
of millions of various-type KPIs, eg, CPU utilization, memory utilization. For each KPI, it is …

Opinion mining of customers reviews using new Jaccard dissimilarity kernel function

SK Arjunan, P Murugesan… - International Journal of …, 2023 - inderscienceonline.com
Opinion mining (aka sentiment mining), a subdivision of text classification has become
traction among researchers in recent decades, due to the popularity of its practical …

Information retrieval approaches: A comparative study

A Moutaoukkil, A Idarrou, I Belahyane - International journal of …, 2022 - hrcak.srce.hr
Sažetak The area of information retrieval (IR) has taken on increasing importance in recent
years. This field is now of interest to large communities in several application domains …

Combining Machine Learning and Dimensionality Reduction Techniques to Provide an Efficient Customer Segmentation: A Case of CAS Tecnologia Smart Grid …

A Fonseca, CO Santos, W Nakasuga… - 2023 15th IEEE …, 2023 - ieeexplore.ieee.org
In the era of big data analytics, customer segmentation requires new approaches to analyze
consumption behavior and develop targeted services. In this study, it was explored the K …