Research on parallel association rule mining of big data based on an improved K-means clustering algorithm.
Li HaoTuanbu WangChaoping GuoPublished in: Int. J. Auton. Adapt. Commun. Syst. (2023)
Keyphrases
- association rule mining
- big data
- knowledge discovery
- association rules
- data mining
- data management
- data analysis
- data mining techniques
- cloud computing
- big data analytics
- mining algorithm
- business intelligence
- association mining
- association rule discovery
- frequent itemsets
- rule mining
- social media
- frequent itemset mining
- commodity hardware
- data processing
- itemsets
- vast amounts of data
- data warehousing
- parallel processing
- genetic network programming
- associative classification
- data science
- positive and negative association rules
- mining association rules
- interestingness measures
- frequent subtree mining
- machine learning
- associative classifiers
- classification rule mining
- information retrieval
- discovered association rules
- algorithms for mining association rules
- shared memory
- interesting rules
- databases
- classification rules
- database management systems
- object oriented
- decision making