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

This paper presents a detailed analysis of big data and machine learning (ML) in the
electrical power and energy sector. Big data analytics for smart energy operations …

Big Data (BD) is a concept that deals with enormous amounts of data storage, processing,
and analysis. With the exponential advancement in the evolution of cloud computing …

Many prestigious researchers have been exploring the issues of imprecision, inconsistency,
and uncertain information in decision making, which are still challenges in developing a …

As time advances, the use of deep learning-based object detection algorithms has also
evolved leading to developments of new human-computer interactions, facilitating an …

Scaling up the data-mining classification algorithms to very large datasets has been
attracting growing interest now a days. Many techniques have been employed to improve …

Frequent and infrequent itemset mining are trending in data mining techniques. The pattern
of Association Rule (AR) generated will help decision maker or business policy maker to …

Due to rapid growth and tremendous advancement, the Internet of Things (IoT) has been
considered as a superior technology in recent years and increased its demand over the …

Rapid advancement in technology and in-expensive camera has raised the necessity of
monitoring systems for surveillance applications. As a result data acquired from numerous …

Growth and development of the economy is dependent on the banking system. Bad loans
which are Non-Performing Assets (NPA) are the measure for assessing the financial health …