To Ameliorate Classification Accuracy using Ensemble Distributed Decision Tree (DDT) Vote Approach: An Empirical discourse of Geographical Data Mining.
Sheikh Amir FayazMajid Zaman BabaMuheet Ahmed ButtPublished in: ANT/EDI40 (2021)
Keyphrases
- decision trees
- classification accuracy
- data mining
- naive bayes
- training set
- training data
- random forest
- decision tree induction
- feature selection
- distributed systems
- ensemble methods
- voting schemes
- data mining methods
- neural network
- machine learning
- decision tree construction
- meta learning
- data mining techniques
- parallel data mining
- random forests
- distributed data mining
- logistic regression
- multi agent
- distributed environment
- decision tree classifiers
- association rules
- machine learning algorithms
- ensemble classifier
- data warehouse
- data mining algorithms
- decision tree algorithm
- ensemble learning
- data reduction
- text mining
- greedy search
- wrapper feature selection
- privacy preserving classification
- knowledge building
- web intelligence
- classification models
- feature subset
- text classification
- feature set
- knowledge discovery
- data analysis
- real world