Preceding document clustering by graph mining based maximal frequent termsets preservation.
Syed ShahMohammad AmjadPublished in: Int. Arab J. Inf. Technol. (2019)
Keyphrases
- document clustering
- graph mining
- maximal frequent
- itemset mining
- frequently occurring
- frequent sets
- pattern mining
- text mining
- frequent itemset mining
- graph databases
- frequent patterns
- clustering algorithm
- document collections
- clustering method
- graph data
- frequent item sets
- connected components
- itemsets
- pattern discovery
- link prediction
- negative matrix factorization
- community detection
- text documents
- graph patterns
- link analysis
- cluster analysis
- k means
- maximal frequent itemsets
- mining algorithm
- social network analysis
- text classification
- multi dimensional
- association rules
- training data