Bagging and Boosting Ensembles for Conflict Resolution on Heterogeneous Data.
Adilakshmi VadavalliSubhashini RadhakrishnanPublished in: ICO (2019)
Keyphrases
- conflict resolution
- heterogeneous data
- ensemble methods
- ensemble learning
- base classifiers
- decision tree ensembles
- decision stumps
- base learners
- random forests
- rotation forest
- negative correlation learning
- prediction accuracy
- data integration
- decision trees
- ensemble members
- data sources
- data management
- weak learners
- random forest
- ensemble classifier
- resolve conflicts
- databases
- metadata
- complex data
- benchmark datasets
- machine learning methods
- ensemble selection
- majority voting
- resolving conflicts
- access control policies
- imbalanced data
- neural network ensembles
- classifier ensemble
- weak classifiers
- feature selection
- randomized trees
- data model
- weighted voting
- training set
- high dimensional data
- data sets