Finding tendencies in streaming data using Big Data frequent itemset mining.
Carlos Fernandez-BassoAbel J. Francisco-AgraMaría J. Martín-BautistaM. Dolores RuizPublished in: Knowl. Based Syst. (2019)
Keyphrases
- big data
- streaming data
- frequent itemset mining
- data streams
- frequent itemsets
- itemsets
- concept drift
- sliding window
- data management
- data analysis
- cloud computing
- social media
- data processing
- association rule mining
- graph mining
- sequential pattern mining
- big data analytics
- data mining
- anomaly detection
- mining algorithm
- pattern mining
- business intelligence
- knowledge discovery
- data distribution
- sequential patterns
- database
- data warehousing
- frequent pattern mining
- association rules
- change detection
- database systems
- frequent patterns
- pattern discovery
- case study
- decision making
- machine learning
- databases
- knn