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A fast DBSCAN algorithm for big data based on efficient density calculation

N Hanafi, H Saadatfar - Expert Systems with Applications, 2022 - Elsevier
Today, data is being generated with a high speed. Managing large volume of data has
become a challenge in the current age. Clustering is a method to analyze data that is …
Зберегти Послатися Цитовано в 54 джерелах Пов’язані статті Кількість версій: 2

K-DBSCAN: An improved DBSCAN algorithm for big data

N Gholizadeh, H Saadatfar, N Hanafi - The Journal of supercomputing, 2021 - Springer
Big data storage and processing are among the most important challenges now. Among
data mining algorithms, DBSCAN is a common clustering method. One of the most important …
Зберегти Послатися Цитовано в 83 джерелах Пов’язані статті Кількість версій: 4

Varying-scale HCA-DBSCAN-based anomaly detection method for multi-dimensional energy data in steel industry

F **, H Wu, Y Liu, J Zhao, W Wang - Information Sciences, 2023 - Elsevier
The quality of the acquisition data in the energy system of steel industry is the basis of
prediction analysis and scheduling operation. Facing with its multi-dimensional and high …
Зберегти Послатися Цитовано в 11 джерелах Пов’язані статті Кількість версій: 2