Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns.
Juanjuan ShuLizhen WangPeizhong YangVanha TranPublished in: ADMA (1) (2022)
Keyphrases
- pattern mining
- frequent patterns
- sequential patterns
- emerging patterns
- pattern discovery
- data mining techniques
- interesting patterns
- previously unknown
- mining frequent
- mining algorithm
- frequent pattern mining
- complex relationships
- itemsets
- periodic patterns
- association patterns
- transactional databases
- mining patterns
- repeating patterns
- sequential pattern mining
- closed patterns
- graph patterns
- multiple data streams
- discover hidden
- transactional data
- lung cancer
- web logs
- website
- industrial applications
- breast cancer
- structural patterns
- monitoring system
- data mining
- event sequences
- clickstream data
- pairwise
- knowledge discovery
- discovering interesting
- frequent sequences
- social influence
- interaction patterns
- temporal relationships
- early detection
- application of data mining