Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

Text clustering is an unsupervised learning technique that organises documents into coherent groups based on shared linguistic and semantic characteristics. The effectiveness of clustering depends ...

It is a significant and challenging task to detect the informative features to carry out explainable analysis and build an interpretable AI system for high dimensional data, especially for those with ...

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

space is very broad, the task doesn’t require the best answer; just a good one quickly, or if the parameters are not well known (Mitchell 156 and Langdon, McPhee, Poli 111-113). problem will hereby be ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...