Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Data selection, which includes feature and instance selection, is often an important step in
building prediction systems. Genetic algorithms (GA) frequently allow finding better solutions …

Numerous abnormal transactions have been exposed as a result of targeted attacks on
Ethereum, such as the Ethereum Decentralized Autonomous Organization attack. Exploiting …

The objective of this research is to identify to what extent volumes, components, time slots,
and publication topics improve customer engagement with Spanish automotive brands …

We developed a decision support framework for default predictions that addresses two
common issues: inconsistent customers and predictions of future defaults. We developed a …

The surge in data generation has prompted a shift to big data, challenging the notion that
“more data equals better performance” due to processing and time constraints. In this …

Fault prediction is a vital task to decrease the costs of equipment maintenance and repair, as
well as to improve the quality level of products and production efficiency. Steel plates fault …

The objective of this work is to detect the variables that allow organizations to manage their
social network services efficiently. The study, applying machine learning algorithms and …

The quantity and quality of a dataset play a crucial role in the performance of prediction
models. Increasing the amount of data increases the computational requirements and can …

Data quality, especially label quality, may have a significant impact on the prediction
accuracy in supervised learning. Training on datasets with label noise causes a degradation …