An Approach for Data Mining in Drug Development based on Decision Tree Clustering and Classification.
Sylvia SchmiedelHualan ZhangOleg MachnowPetra PernerPublished in: Trans. Mach. Learn. Data Min. (2010)
Keyphrases
- decision trees
- data mining
- machine learning
- cluster analysis
- clustering analysis
- decision tree algorithm
- predictive accuracy
- data pre processing
- unsupervised clustering
- unsupervised learning
- unsupervised classification
- decision tree induction
- data mining tasks
- classification models
- data mining methods
- pattern recognition
- machine learning algorithms
- decision rules
- decision support
- decision tree learning algorithm
- supervised classification
- feature construction
- data analysis
- clustering algorithm
- attribute selection
- classification rules
- outlier detection
- data preprocessing
- classification algorithm
- decision tree classifiers
- clustering method
- privacy preserving classification
- support vector machine
- knowledge discovery
- k means
- feature vectors
- preprocessing
- support vector
- naive bayes
- text classification
- supervised learning
- classification accuracy
- classification trees
- multivariate decision trees
- rule induction
- cost sensitive
- self organizing maps
- class labels
- privacy preserving
- data mining techniques
- semi supervised
- multi class
- association rules