Prediction of rare and anomalous minerals using anomaly detection and machine learning techniques

Prediction of rare and anomalous minerals using anomaly detection and machine learning techniques

This study applies machine learning to detect and classify anomalous minerals within a large mineralogical dataset, enhancing geological exploration and resource identification. Using Isolation Forest and One-Class SVM, we identified rare minerals with distinct physical and chemical properties that...

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Bibliographic Details
Main Authors: Abish Sharapatov, Alisher Saduov, Nazerke Assirbek, Madiyar Abdyrov, Beibit Zhumabayev
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Applied Computing and Geosciences
Subjects:
Anomaly detection
Isolation forest
One-class SVM
KMeans clustering
Mineral composition
Geological processes
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197425000321
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