Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …

This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

This paper aims to investigate tugboat accidents using various association rule mining
algorithms. A total of 477 tugboat accident records obtained from the Information Handling …

Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …

The water quality index (WQI) is an essential indicator to manage water usage properly. This
study aimed at applying a machine learning-based approach integrating attribute-realization …

Transaksi penjualan merupakan suatu usaha penjualan yang dilakukan setiap menit, setiap
hari, setiap minggu bahkan bertahun-tahun. Sehingga data akan semakin menumpuk bisa …

Identifying the areas susceptible to dust storm formation is one effective way of dealing with
this destructive environmental phenomenon. This study is the first attempt to employ the …

Background: Association rules encode common patterns and structures identified in
datasets. They can be derived by association rule mining (ARM) algorithms. The association …

Pada era teknologi sekarang hampir semua bisnis ritel sudah menggunakan teknologi Point
of Sale (PoS), dimana semua transaksi di rekap dalam sebuah database sistem. Data yang …

Social networks have taken an irreplaceable role in our lives. They are used daily by
millions of people to communicate and inform themselves. This success has also led to a lot …