Journal Article

·2022

Detection of Outliers and Extreme Events of Ground Level Particulate Matter Using DBSCAN Algorithm with Local Parameters

Meryem Ezgi Aslan YTU , Semih Önüt YTU

Water Air & Soil Pollution

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

DBSCAN Outlier Particulates Cluster analysis Anomaly detection Computer science Noise (video) Algorithm Data mining Projection (relational algebra) Environmental science Pattern recognition (psychology) Artificial intelligence CURE data clustering algorithm Fuzzy clustering Image (mathematics) Biology Ecology

Subject Areas

Air Quality and Health Impacts ·Health, Toxicology and Mutagenesis ·Physical Sciences
Air Quality Monitoring and Forecasting ·Environmental Engineering ·Physical Sciences
Vehicle emissions and performance ·Automotive Engineering ·Physical Sciences

Citations by Year

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Climate action 78%

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