Two feature weighting approaches for naive Bayes text classifiers
This paper works on feature weighting approaches for naive Bayes text classifiers. Almost all
existing feature weighting approaches for naive Bayes text classifiers have some defects …
existing feature weighting approaches for naive Bayes text classifiers have some defects …
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Floods are one of the most damaging natural hazards causing huge loss of property,
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
Modeling flood susceptibility using data-driven approaches of naïve bayes tree, alternating decision tree, and random forest methods
Floods are one of the most devastating types of disasters that cause loss of lives and
property worldwide each year. This study aimed to evaluate and compare the prediction …
property worldwide each year. This study aimed to evaluate and compare the prediction …
[HTML][HTML] Flash flood susceptibility map** using a novel deep learning model based on deep belief network, back propagation and genetic algorithm
Flash floods are responsible for loss of life and considerable property damage in many
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …
Deep feature weighting for naive Bayes and its application to text classification
Naive Bayes (NB) continues to be one of the top 10 data mining algorithms due to its
simplicity, efficiency and efficacy. Of numerous proposals to improve the accuracy of naive …
simplicity, efficiency and efficacy. Of numerous proposals to improve the accuracy of naive …
A correlation-based feature weighting filter for naive Bayes
Due to its simplicity, efficiency, and efficacy, naive Bayes (NB) has continued to be one of the
top 10 algorithms in the data mining and machine learning community. Of numerous …
top 10 algorithms in the data mining and machine learning community. Of numerous …
Attribute and instance weighted naive Bayes
Naive Bayes (NB) continues to be one of the top 10 data mining algorithms, but its
conditional independence assumption rarely holds true in real-world applications …
conditional independence assumption rarely holds true in real-world applications …
[HTML][HTML] Comparison of machine learning models for gully erosion susceptibility map**
Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory,
especially in the Northern provinces. A number of studies have been recently undertaken to …
especially in the Northern provinces. A number of studies have been recently undertaken to …
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in …
The main objective of this study was to produce landslide susceptibility maps for Langao
County, China, using a novel hybrid artificial intelligence method based on rotation forest …
County, China, using a novel hybrid artificial intelligence method based on rotation forest …