Addressing Missing Attributes during Data Mining Using Frequent Itemsets and Rough Set Based Predictions.
Jiye LiNick CerconeRobin CohenPublished in: GrC (2007)
Keyphrases
- frequent itemsets
- frequent itemset mining
- association rules
- transaction data
- data mining
- association rule mining
- itemsets
- itemset mining
- frequent itemsets mining
- mining association rules
- discovery of association rules
- mining frequent itemsets
- frequent itemset discovery
- rule sets
- discovering association rules
- rough sets
- condensed representations
- transaction databases
- data streams
- mining algorithm
- interestingness measures
- concise representation
- data mining techniques
- constraint based mining
- data mining algorithms
- transactional databases
- data structure
- uncertain data
- apriori algorithm
- closed itemsets
- association rules mining
- frequent pattern mining
- concept lattice
- knowledge discovery
- rough set theory
- pattern mining
- frequent set mining
- data mining applications
- cluster analysis
- data mining problems
- dense datasets
- frequent patterns
- interesting patterns
- frequent item sets
- classification rules
- missing values
- web mining
- closed frequent itemsets
- attribute values
- pattern discovery
- formal concept analysis
- data analysis