A Comparison of Four Classification Systems Using Rule Sets Induced from Incomplete Data Sets by Local Probabilistic Approximations.
Patrick G. ClarkCheng GaoJerzy W. Grzymala-BussePublished in: ISMIS (2017)
Keyphrases
- classification systems
- rule sets
- incomplete data sets
- decision rules
- error rate
- classification rules
- rule learning
- rough set theory
- rule induction
- incomplete data
- decision trees
- association rules
- data sets
- membership functions
- information retrieval
- missing values
- fuzzy rules
- probabilistic model
- data mining algorithms
- bayesian networks
- hierarchical text classification
- image processing
- rough sets
- knn
- computer vision
- learning algorithm
- data streams