- Home
- Publications
- Publication Search
- Publication Details
Title
Mapping Mineral Prospectivity via Semi-supervised Random Forest
Authors
Keywords
Mapping mineral prospectivity, Semi-supervised, Random forest, Southwestern Fujian metallogenic belt
Journal
Natural Resources Research
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-06-29
DOI
10.1007/s11053-019-09510-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Mapping Geochemical Anomalies Through Integrating Random Forest and Metric Learning Methods
- (2019) Ziye Wang et al. Natural Resources Research
- Deep learning and its application in geochemical mapping
- (2019) Renguang Zuo et al. EARTH-SCIENCE REVIEWS
- Mapping geochemical anomalies related to Fe–polymetallic mineralization using the maximum margin metric learning method
- (2019) Ziye Wang et al. ORE GEOLOGY REVIEWS
- GIS-based rare events logistic regression for mineral prospectivity mapping
- (2018) Yihui Xiong et al. COMPUTERS & GEOSCIENCES
- Geology and fluid inclusion geochemistry of the Zijinshan high-sulfidation epithermal Cu-Au deposit, Fujian Province, SE China: Implication for deep exploration targeting
- (2018) Jun Zhong et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Characterization and origin of granites from the Luoyang Fe deposit, southwestern Fujian Province, South China
- (2018) Zhen-Jie Zhang et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Recognizing geochemical anomalies via stochastic simulation-based local singularity analysis
- (2018) Jian Wang et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Data integration modeling applied to drill hole planning through semi-supervised learning: A case study from the Dalli Cu-Au porphyry deposit in the central Iran
- (2017) Moslem Fatehi et al. JOURNAL OF AFRICAN EARTH SCIENCES
- Application of semi-supervised fuzzy c-means method in clustering multivariate geochemical data, a case study from the Dalli Cu-Au porphyry deposit in central Iran
- (2017) Moslem Fatehi et al. ORE GEOLOGY REVIEWS
- Effects of misclassification costs on mapping mineral prospectivity
- (2017) Yihui Xiong et al. ORE GEOLOGY REVIEWS
- Big Data Analytics of Identifying Geochemical Anomalies Supported by Machine Learning Methods
- (2017) Renguang Zuo et al. Natural Resources Research
- Natural Resources Research Publications on Geochemical Anomaly and Mineral Potential Mapping, and Introduction to the Special Issue of Papers in These Fields
- (2017) Emmanuel John M. Carranza Natural Resources Research
- Recognition of geochemical anomalies using a deep autoencoder network
- (2016) Yihui Xiong et al. COMPUTERS & GEOSCIENCES
- Data-driven logistic-based weighting of geochemical and geological evidence layers in mineral prospectivity mapping
- (2016) Mahyar Yousefi et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Mapping mineral prospectivity for Cu polymetallic mineralization in southwest Fujian Province, China
- (2016) Yuan Gao et al. ORE GEOLOGY REVIEWS
- Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping
- (2015) Mahyar Yousefi et al. COMPUTERS & GEOSCIENCES
- Prediction–area (P–A) plot and C–A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling
- (2015) Mahyar Yousefi et al. COMPUTERS & GEOSCIENCES
- Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines)
- (2015) Emmanuel John M. Carranza et al. COMPUTERS & GEOSCIENCES
- Spatial characteristics of geochemical patterns related to Fe mineralization in the southwestern Fujian province (China)
- (2015) Haicheng Wang et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- A comparative study of trend surface analysis and spectrum–area multifractal model to identify geochemical anomalies
- (2015) Haicheng Wang et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- BoostWofE: A New Sequential Weights of Evidence Model Reducing the Effect of Conditional Dependency
- (2015) Qiuming Cheng Mathematical Geosciences
- Data-driven predictive mapping of gold prospectivity, Baguio district, Philippines: Application of Random Forests algorithm
- (2015) Emmanuel John M. Carranza et al. ORE GEOLOGY REVIEWS
- Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration
- (2015) Alok Porwal et al. ORE GEOLOGY REVIEWS
- Evaluation of uncertainty in mineral prospectivity mapping due to missing evidence: A case study with skarn-type Fe deposits in Southwestern Fujian Province, China
- (2015) Renguang Zuo et al. ORE GEOLOGY REVIEWS
- Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
- (2015) V. Rodriguez-Galiano et al. ORE GEOLOGY REVIEWS
- A comparative study of fuzzy weights of evidence and random forests for mapping mineral prospectivity for skarn-type Fe deposits in the southwestern Fujian metallogenic belt, China
- (2015) ZhenJie Zhang et al. Science China-Earth Sciences
- Comparison of the Data-Driven Random Forests Model and a Knowledge-Driven Method for Mineral Prospectivity Mapping: A Case Study for Gold Deposits Around the Huritz Group and Nueltin Suite, Nunavut, Canada
- (2015) G. McKay et al. Natural Resources Research
- Data-Driven Index Overlay and Boolean Logic Mineral Prospectivity Modeling in Greenfields Exploration
- (2015) Mahyar Yousefi et al. Natural Resources Research
- Data-Driven Predictive Modeling of Mineral Prospectivity Using Random Forests: A Case Study in Catanduanes Island (Philippines)
- (2015) Emmanuel John M. Carranza et al. Natural Resources Research
- The mineralization age of the Makeng Fe deposit, South China: implications from U–Pb and Sm–Nd geochronology
- (2014) Zhenjie Zhang et al. INTERNATIONAL JOURNAL OF EARTH SCIENCES
- The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China
- (2014) Yue Liu et al. Frontiers of Earth Science
- Weighted drainage catchment basin mapping of geochemical anomalies using stream sediment data for mineral potential modeling
- (2013) Mahyar Yousefi et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Sr–Nd–Pb isotope systematics of magnetite: Implications for the genesis of Makeng Fe deposit, southern China
- (2013) Zhenjie Zhang et al. ORE GEOLOGY REVIEWS
- Clustering of mineral prospectivity area as an unsupervised classification approach to explore copper deposit
- (2012) Maysam Abedi et al. Arabian Journal of Geosciences
- Support vector machine for multi-classification of mineral prospectivity areas
- (2012) Maysam Abedi et al. COMPUTERS & GEOSCIENCES
- Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas
- (2012) Qiuming Cheng JOURNAL OF GEOCHEMICAL EXPLORATION
- Geochronological and geochemical features of the Cathaysia block (South China): New evidence for the Neoproterozoic breakup of Rodinia
- (2011) Liang-Shu Shu et al. PRECAMBRIAN RESEARCH
- Support vector machine: A tool for mapping mineral prospectivity
- (2010) Renguang Zuo et al. COMPUTERS & GEOSCIENCES
- Translating the mineral systems approach into an effective exploration targeting system
- (2010) T. Campbell McCuaig et al. ORE GEOLOGY REVIEWS
- Combined conceptual/empirical prospectivity mapping for orogenic gold in the northern Fennoscandian Shield, Finland
- (2008) V. Nykänen et al. AUSTRALIAN JOURNAL OF EARTH SCIENCES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started