Most classification algorithms assume that classes are in a balanced state. However,
datasets with class imbalances are everywhere. The classes of actual medical datasets are …

With the mountains of classification algorithms proposed in the literature, the study of how to
select suitable classifier (s) for a given problem is important and practical. Existing methods …

The user persona is a communication tool for designers to generate a mental model that
describes the archetype of users. Develo** building occupant personas is proven to be an …

Recommending appropriate classification algorithm (s) for a given classification problem is
of great significance and also one of the challenging problems in the field of data mining …

With a large number of distance measures, the appropriate choice for clustering a given data
set with a specified clustering algorithm becomes an important problem. In this article, an …

The impact of financial fraud is widespread, from everyday life to the financial industry, and it
reduces industry confidence and destabilizes the country's economy. Therefore, it is …

In the medical domain, data are often collected over time, evolving from simple to refined
categories. The data and the underlying structures of the medical data as to how they have …

Anomaly detection, crucial for identifying issues such as financial fraud or medical
malfunctions, has advanced significantly with machine learning (ML) and deep learning …

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

Machine learning (ML) has penetrated all aspects of the modern life, and brought more
convenience and satisfaction for variables of interest. However, building such solutions is a …