E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments.
Ángel Miguel García-VicoFrancisco ChartePedro GonzálezDavid A. ElizondoCristóbal José CarmonaPublished in: Neurocomputing (2020)
Keyphrases
- big data
- emerging patterns
- evolutionary algorithm
- attribute oriented induction
- sparse data
- cloud computing
- data analysis
- data management
- social media
- fuzzy logic
- genetic programming
- itemsets
- big data analytics
- jumping emerging patterns
- business intelligence
- vast amounts of data
- subgroup discovery
- data mining methods
- fuzzy sets
- knowledge discovery
- data science
- data processing
- databases
- database systems
- data warehousing
- frequent itemsets
- real world
- frequent pattern mining
- fuzzy rules
- case study
- massive datasets
- business analytics
- data mining techniques
- decision support
- database