Evaluation of Tourism Object Rating Using Naïve Bayes, Support Vector Machine, and K-Means for Business Intelligence Application in Indonesia Tourism.
Sitti Rahmah JabirPurnawansyah PurnawansyahHerdianti DarwisHarlinda LahuddinAmaliah FaradibahAndi Widya Mufila GaffarPublished in: IMCOM (2024)
Keyphrases
- business intelligence
- support vector machine
- decision support
- bayes classifiers
- k means
- data warehousing
- business information
- data warehouse
- knowledge management
- bayes classifier
- microsoft office
- business intelligence systems
- support vector
- big data
- end users
- decision making
- sql server
- bayesian classifiers
- electronic commerce
- data analysis
- decision trees
- information systems
- databases
- tree augmented
- microsoft sql server
- knowledge discovery
- metadata
- feature selection
- artificial intelligence