With the proliferation of the use of chatbots across industries, business-to-business (B2B)
businesses have started using cognitive chatbots for improved customer service which …

The two most widely used and easily implementable algorithm for clustering and
classification-based analysis of data in the unsupervised learning domain are Density …

The accumulation of new student data every year makes searching and processing data
difficult, including selecting superior class students according to their talents and abilities …

The aims of this research was to identify prospective customers by conducting customer
segmentation based on recency, frequency, monetary (RFM) values and demographic …

The reduction in government support and the rapid growth in the number of nonprofit
organizations have made them face fierce competition for charitable donations. Identifying …

Background Anomalies in healthcare refer to deviation from the norm of unusual or
unexpected patterns or activities related to patients, diseases or medical centres. Detecting …

Customs duties are vital for national revenue, and deviations in declared values can lead to
economic instability. This paper introduces a novel cluster-based approach for detecting …

Abstract Analysis and visualization of large volumes of semi-structured information (Big
Data) in decision-making support is an important and urgent problem of the digital economy …

Nowadays, the overfitting is still one of the major problems that limits the performance of
Convolutional Neural Networks (CNN). To deal effectively with this issue, the regularization …

Segmentasi pelanggan merupakan salah satu metode yang dapat diterapkan untuk
memaksimalkan peluang bisnis. Hal tersebut dapat membantu bisnis agar tetap kompetitif …