Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification.
Abraham Itzhak WeinbergMark LastPublished in: J. Big Data (2019)
Keyphrases
- decision trees
- big data
- classification models
- machine learning algorithms
- decision tree classifiers
- random forest
- ensemble methods
- training set
- decision tree algorithm
- training data
- machine learning
- naive bayes
- base classifiers
- logistic regression
- cloud computing
- classification rules
- predictive model
- binary classification problems
- ensemble classifier
- classification trees
- induction algorithms
- model selection
- data processing
- text classification
- information technology
- unstructured data
- high volume
- data mining
- data warehousing
- social media
- feature selection
- feature subset
- classification accuracy
- data analysis
- database systems
- case study
- predictive modeling
- massive data
- databases
- social computing
- data analytics
- vast amounts of data
- big data analytics