The lack of sufficient big data-based approaches impedes the development of human
resource management (HRM) research and practices. Although scholars have realized the …

At present, most of the business organizations take their management decisions using
traditional approach. In the traditional approach, the freedom to be flexible is limited due to …

Big data is an important factor almost in all nowadays technologies, such as, social media,
smart cities, and internet of things. Most of standard classifiers tends to be trapped in local …

Software defect prediction (SDP) is a convenient way to identify defects in the early phases
of the software development life cycle. This early warning system can help in the removal of …

Under specific terrain and climatic conditions, it is extremely easy to cause various types of
geological hazards, and the occurrence of geological hazards will affect people's production …

Student performance prediction helps the educational stakeholders to take proactive
decisions and make interventions, for the improvement of quality of education and to meet …

In recent years, machine learning (ML) is adopted everywhere in a wide range of massive
and complex data-intensive fields like medicine, astronomy, education, biology, etc. The …

This work is motivated by a particular problem of a modern paper manufacturing industry, in
which the maximum efficiency of the fiber-filler recovery process is desired. A lot of …

Machine learning algorithms are used in language processing, automated driving, and for
prediction. Though the theory of machine learning has existed since the 1950s, it was not …

Performance evaluation of students is essential to check the feasibility of improvement.
Regular evaluation not only improves the performance of the student but also it helps in …