A utility-based approach for business intelligence to discover beneficial itemsets with or without negative profit in retail business industry.
C. SivamathiS. VijayaraniPublished in: Int. J. Bus. Intell. Data Min. (2020)
Keyphrases
- business intelligence
- itemsets
- cross selling
- high utility
- predictive analytics
- decision making
- frequent itemsets
- itemset mining
- association rules
- data warehousing
- case study
- data mining
- business information
- association rule mining
- mining association rules
- knowledge discovery
- data structure
- pattern mining
- business users
- frequent itemset mining
- data streams
- data warehouse
- frequent pattern mining
- business decisions
- data mining algorithms
- decision support
- knowledge management
- data analysis
- data analytics
- big data
- business analytics
- frequent patterns
- end users
- sql server
- microsoft office
- interestingness measures
- activity monitoring
- interesting patterns
- anti monotone
- strategic management
- data quality
- machine learning