The term Big Data is becoming global today. The Big data is huge amount of variety of data,
and the data is increasing very rapidly according to the time. So there is need to process that …

Penelitian bertujuan untuk mengetahui bagaimana klasterisasi kualitas pendidikan SMA/MA
berdasarkan hasil ujian nasional SMA/MA provinsi di Indonesia tahun ajaran 2018/2019 …

The K-Means method is the most popular and often used function in Data Mining in data
grouping. One of the shortcomings of the K-Means method is the determination of the …

Massive amounts of data in different forms (structured, semi-structured, unstructured)
belonging to various applications of healthcare needs to be handled for efficient and …

The stacking data is usefull to get a new information. Data mining is a methode to determine
the important pattern in Frequent Itemset Mining (FIM). Apriori is part of association rule that …

This paper concentrates on the possibility profit about utilizing Artificial neural systems
(ANN) and extemporized K-means. The analysis about thyroid diagnosis, where ANN is …

Data mining is a technology used in different disciplines to search for significant
relationships among variables in large data sets. In this paper, we concentrate on the …

This article develops a data-driven approach to accurately predict the restoration time of
outages under different scales and factors. To achieve the goal, the proposed method …

Clustering is one of the most common automated image segmentation techniques used in
many fields including machine learning, pattern recognition, image processing, and …

Uneven distribution is a common problem in setting up access points where some areas
have many signals colliding with each other and others have no signals at all (blank spots) …