Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Generalized Maximal Consistent Blocks.
Patrick G. ClarkJerzy W. Grzymala-BusseZdzislaw S. HippeTeresa MroczekRafal NiemiecPublished in: KES (2020)
Keyphrases
- incomplete data
- rule sets
- bayesian networks
- association rules
- missing values
- learning bayesian networks
- missing data
- proximal point
- rule learning
- decision rules
- classification rules
- error rate
- em algorithm
- incomplete data sets
- decision trees
- fuzzy rules
- probabilistic model
- rough set theory
- data structure
- rule learner
- itemsets
- computational intelligence
- nearest neighbor
- knowledge discovery
- preprocessing
- computer vision
- real world
- data sets