Pavol Durana, Vladislav Krastev, Kathryn Buckner, Digital Twin Modeling, Multi-Sensor Fusion Technology, and Data Mining Algorithms in Cloud and Edge Computing-based Smart City Environments, ...

Elvira Nica, Juraj Cug, Martin Bugaj, Urban Simulation Modeling and Visual Data Mining Tools, Image Processing Computational and Remote Sensing Algorithms, and Digital Twinning and Geospatial Mapping ...

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 ...

Association rules mining is one of the most popular data mining models. Minimum-support is used in association rules mining algorithms, like Apriori, FP-growth, eclat, etc.

Here are the differences between supervised, semi-supervised, and unsupervised learning -- and how each is valuable in the enterprise.

The new technique automatically curates balanced datasets, avoiding undersampling rare data, for training self-supervised learning models.

Semi-supervised learning uses both tagged and untagged data to fit a model. In some cases, such as Alexa’s, adding the untagged data actually improves the accuracy of the model. In other cases ...