The industry of e-commerce (EC) has become more popular and creates tremendous
business opportunities for many firms. Modern societies are gradually shifting towards …

Automated Machine Learning (AutoML) aims to identify the best-performing machine
learning algorithm along with its input parameters for a given dataset and a specific machine …

In recent years, there has been a significant increase in oil exploration and exploitation
activities, resulting in spills that pose a severe threat to the environment and public health …

Typical online shops have one interface provided to all users, regardless of their use of the
shop. Meanwhile, user behavior varies and therefore different interfaces could be provided …

Marketers have long since understood the importance of customer segmentation and
customer churn prediction modelling. However, linking these processes remains a …

The choice of distance metric impacts the clustering quality of centroid-based algorithms,
such as k-means. Theoretical attempts to select the optimal metric entail deep domain …

Food plays a vital role in the daily life; everybody needs a balanced diet to maintain a
healthy body. Nowadays, the list of foods is continue growing. Some are natural, others are …

Clustering algorithms play a pivotal role in data mining, offering powerful tools for
uncovering hidden patterns and structures within datasets. These algorithms aim to divide …

In the context of planning the exploitation of an open-pit mine, the final pit limit problem
consists of finding the volume to be extracted so that it maximizes the total profit of …

Recommending appropriate algorithms to a classification problem is one of the most
challenging issues in the field of data mining. The existing algorithm recommendation …