Performance Evaluation of Predictive Classifiers For Knowledge Discovery From Engineering Materials Data Sets
Hemanth K. S. DoreswamyPublished in: CoRR (2012)
Keyphrases
- knowledge discovery
- data sets
- materials science
- training data
- training set
- decision trees
- predictive modeling
- feature selection algorithms
- test data
- databases
- benchmark data sets
- formal concept analysis
- test set
- machine learning algorithms
- conceptual design
- data mining and knowledge discovery
- publicly available data sets
- software engineering
- data analysis
- training samples
- naive bayes
- data mining
- text mining
- ensemble learning
- engineering design
- classification models
- svm classifier
- machine learning
- incomplete data sets
- classification method
- ensemble classifier
- unseen data
- classifier combination
- supervised classification
- classifier ensemble
- artificial intelligence
- association rules
- support vector
- data streams
- computer science
- induction algorithms
- unseen test data
- neural network
- missing attribute values
- real world
- feature selection
- roc curve
- classification trees
- feature set
- predictive model
- data mining techniques
- knowledge discovery and data mining
- high dimensional data
- outlier detection