With an ever-increasing amount of options, the task of selecting machine learning tools for
big data can be difficult. The available tools have advantages and drawbacks, and many …

This paper proposes a new approach to produce classification rules based on evolutionary
computation with novel crossover and mutation operators customized for execution on …

The explosive growth of Information Technology in the last few decades has resulted in
automation in every possible field. This has also led to electronic fund transfers and …

Hybrid Rice Optimization Algorithm (HRO) is a novel swarm intelligence optimization
algorithm based on heuristic evolutionary computation, which is inspired by the cultivation …

Imbalanced classification problems represent a current challenge in data mining research,
due to the classifiers' inability to produce sufficiently good models in such situations. We …

We are experiencing a deluge of data in all fields of scientific and business research,
particularly in the life sciences, due to the development of better instrumentation and the …

As the size of the biomedical databases are growing day by day, finding an essential
features in the disease prediction have become more complex due to high dimensionality …

The advent of Big Data together with the challenges it poses and the effect on
recommendation systems are the main topics of the present chapter. Data-preprocessing …

KNOWLEDGE ENGINEERING GROUP Page 1 KNOWLEDGE ENGINEERING GROUP
Contact details Name Knowledge Engineering Group Acronym KEG Logo Site http://keg.utcluj.ro …

The quality of software design is directly related to the decisions taken during its execution,
because wrong decisions may cause significant damage in a software project. Among the …