The conventional machine learning (ML) algorithms are continuously advancing and
evolving at a fast-paced by introducing the novel learning algorithms. ML models are …

Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Customer churn remains a critical challenge in telecommunications, necessitating effective
churn prediction (CP) methodologies. This paper introduces the Enhanced Gradient …

Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

Automatic keyphrase extraction techniques aim to extract quality keyphrases for higher level
summarization of a document. Majority of the existing techniques are mainly domain …

Customer churn is a major issue for large enterprises. In particular, in the rental business
sector, companies are looking for ways to retain their customers because they are their main …

An earthquake is a tremor felt on the surface of the earth created by the movement of the
major pieces of its outer shell. Till now, many attempts have been made to forecast …

Churn prediction is an active topic for research and machine learning approaches have
made significant contributions in this domain. Models built to address customer churn, aim to …

Stance detection is a relatively new concept in data mining that aims to assign a stance label
(favor, against, or none) to a social media post towards a specific pre-determined target …

The manufacturing of nanomaterials by the electrospinning process requires accurate and
meticulous inspection of related scanning electron microscope (SEM) images of the …