Outlier Detection in Logistic Regression: A Quest for Reliable Knowledge from Predictive Modeling and Classification.
Abdul NurunnabiGeoff A. W. WestPublished in: ICDM Workshops (2012)
Keyphrases
- logistic regression
- outlier detection
- predictive modeling
- knowledge discovery
- decision trees
- support vector
- survival analysis
- logistic regression models
- data mining
- data mining techniques
- naive bayes
- classification trees
- machine learning
- classification accuracy
- fraud detection
- statistical modeling
- data mining methods
- text mining
- loss function
- detect outliers
- data streams
- density estimation
- detecting outliers
- text classification
- data mining algorithms
- support vector machine
- feature space
- information retrieval
- databases
- knowledge management
- cross validation
- big data
- knowledge representation
- pairwise
- data analysis
- clustering algorithm