RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams.
Yoonji BaekUnil YunHeonho KimHyoju NamHyunsoo KimJerry Chun-Wei LinBay VoWitold PedryczPublished in: ACM Trans. Intell. Syst. Technol. (2021)
Keyphrases
- high utility
- pattern mining
- data streams
- itemsets
- sequential pattern mining
- multiple data streams
- sliding window
- sequential patterns
- frequent pattern mining
- frequent patterns
- mining algorithm
- anti monotone
- topic in data mining
- itemset mining
- interesting patterns
- frequent itemsets
- user behavior patterns
- pattern discovery
- high utility itemsets
- sequence mining
- frequent itemset mining
- frequent sets
- transaction databases
- mining high utility itemsets
- data mining techniques
- transactional databases
- pruning strategy
- association rules
- mining frequent itemsets
- multi dimensional
- mining frequent
- data mining algorithms
- data mining
- candidate generation
- mining association rules
- graph mining
- data sets
- sequential data
- condensed representations
- pattern growth
- association rule mining
- frequent sequences
- frequent item sets
- web logs
- data distribution
- text mining
- knowledge discovery
- data structure
- search engine