Compliance with the basic conditions of quality in higher education implies the design of
strategies to reduce student dropout, and Information and Communication Technologies …

Cluster validity evaluation is a hot issue in clustering algorithm research. Aiming at
determining the optimal number of clusters in cluster validity evaluation, this paper proposes …

Clustering evaluation plays an important role in unsupervised learning systems, as it is often
necessary to automatically quantify the quality of generated cluster configurations. This is …

Artificial Neural networks (ANN) are composed of nodes that are joint to each other through
weighted connections. Deep learning, as an extension of ANN, is a neural network model …

Nowadays, many companies standardize their operations through Business Process (BP),
which are stored in repositories and reused when new functionalities are required. However …

Various clustering algorithms use diverse settings, parameters, and initializations, generally
result in different clustering solutions. Therefore, it is essential to compare and evaluate the …

The paper discusses eleven internal evaluation criteria that can be used in the area of
hierarchical clustering of categorical data. The criteria are divided into two distinct groups …

Big data analytics (BDA) is constantly formulating decisions in agriculture and transforming
the processes by which agriculture operates and controls. The agriculture process can be …

The evaluation of weld defects is a prominent task in the weld industry, which ensures the
good quality of weld products. The visual inspection of geometric weld defect is a tedious …

For many decades, numerous organizations have launched software reuse initiatives to
improve their productivity. Software product lines (SPL) addressed this problem by …