Abstract Machine learning (ML) is playing a great role in every sphere of life including the
area of materials science and engineering. At times, the experimental and computational …

The k-means method aims to divide a set of N objects into k clusters, where each cluster is
represented by the mean value of its objects. This algorithm is simple and converges to local …

RFM stands for Recency, Frequency, and Monetary. RFM is a simple but effective method
that can be applied to market segmentation. RFM analysis is used to analyze customer's …

The early warning of financial risk is to identify and analyze existing financial risk factors,
determine the possibility and severity of occurring risks, and provide scientific basis for risk …

This paper presents an approach to predict crosswind force spectra and associated
response of tall buildings with rectangular cross-section based on machine learning (ML) …

Tujuan penelitian ini untuk mengelompokan data siswa kelas unggulan sehingga dalam
proses pembelajaran di sekolah mudah untuk memfasilitasi pendidikan sesuai kemampuan …

Perkembangan data yang pesat membutuhkan pengolahan data untuk tidak hanya sekedar
menghasilkan informasi namun juga memberikan pengetahuan baru. Proses penggalian …

The lower Davies Bouldin Index (DBI) is considered the best clustering algorithm based on
the criteria that yields a cluster set. The purpose of this research is to optimize the clustering …

Owing to its significance in ensuring structural safety and occupant comfort, wind pressure
on buildings has attracted the attention of numerous scholars. However, the characteristics …

Inaccurate sales forecasting (SF) leads to over-stock or stock-out, in which can increase
inventory costs, thereby reducing profits and return on investment. Furthermore, stock-out …