Parallel Semi-supervised enhanced fuzzy Co-Clustering (PSEFC) and Rapid Association Rule Mining (RARM) based frequent route mining algorithm for travel sequence recommendation on big social media.
N. Suresh KumarM. ThangamaniPublished in: Concurr. Comput. Pract. Exp. (2019)
Keyphrases
- mining algorithm
- association rule mining
- semi supervised
- discovering frequent
- mining frequent
- minimum support
- weighted association rules
- association rules
- weighted association rule mining
- minimum support threshold
- itemsets
- frequent subtree mining
- frequent itemsets
- tree mining
- data mining
- frequent itemset mining
- knowledge discovery
- association mining
- pattern discovery
- frequent patterns
- mining association rules
- rule mining
- data mining techniques
- incremental mining
- sequential pattern mining
- frequent sets
- negative association rules
- candidate generation
- positive and negative association rules
- associative classification
- fp tree
- interestingness measures
- pruning strategy
- transaction databases
- frequent item sets
- apriori algorithm
- pattern growth
- incremental updating
- sequential data
- pattern mining
- data sets
- fp growth
- mining frequent patterns
- high utility
- condensed representations
- association rules mining
- clustering algorithm