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Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
Research article (The Science of The Total Environment, 2018) · cited 471× · AI/ML
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
Summary
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling is a scholarly article[1].
Key Facts
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-evaluation-of-the-gis-based-data-mining-techniques-of-best-first-decision-tree-random-forest-and-naive-bayes
MLA“Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-evaluation-of-the-gis-based-data-mining-techniques-of-best-first-decision-tree-random-forest-and-naive-bayes.
BibTeX@misc{4ortxyz_performance-evaluation-of-the-gis-based-data-mining-techniques-of-best-first-decision-tree-random-forest-and-naive-bayes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling}}, year = {2026}, url = {https://4ort.xyz/entity/performance-evaluation-of-the-gis-based-data-mining-techniques-of-best-first-decision-tree-random-forest-and-naive-bayes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling — https://4ort.xyz/entity/performance-evaluation-of-the-gis-based-data-mining-techniques-of-best-first-decision-tree-random-forest-and-naive-bayes (retrieved 2026-05-24)
