A review of data mining ontologies | Emerald Insight Books and journals Case studies Expert
Briefings Open Access Publish with us Advanced search A review of data mining ontologies …

Intelligent assistants often struggle with the complexity of spatiotemporal models used for
understanding objects and environments. The construction and usage of such models …

Feature selection plays an important role in machine learning or data mining problems.
Removing irrelevant features increases model accuracy and reduces the computational …

Feature selection plays an important role in machine learning and data mining problems.
Identifying the best feature selection algorithm that helps to remove irrelevant and redundant …

This article addresses the challenge of reproducing machine learning (ML) experiments by
integrating processes based on MLOps and semantic technologies. The inherent complexity …

Currently, Data mining is applied in various domains. Many data science researchers are
confused on which algorithms are suitable for the context. Hundreds of the …