A Subjective Interestingness measure for Business Intelligence explorations.
Alexandre ChansonBen CrulisNicolas LabrochePatrick MarcelPublished in: CoRR (2019)
Keyphrases
- business intelligence
- interestingness measures
- association rule mining
- association rules
- data warehousing
- data warehouse
- data mining
- knowledge discovery
- frequent itemset mining
- data analysis
- knowledge management
- business intelligence systems
- rule mining
- decision support
- decision making
- sql server
- business information
- itemsets
- microsoft office
- case study
- classification rules
- databases
- end users
- interesting rules
- business users
- correlation coefficient
- data sets
- predictive analytics
- artificial intelligence
- predictive modeling
- business decisions
- activity monitoring
- machine learning
- data structure
- software engineering
- key performance indicators
- database