Business Intelligence:
Intelligent Techniques:
Data Analysis and Data Mining:
Applications and Tools:
- Data extraction and reporting
- OLAP
- Data cleaning and pre-processing
- Decision analysis
- Causal modelling
- Reasoning under uncertainty
- Uncertainty and noise in data
- Business intelligence cycle, and model specification/selection/estimation
- Web technology, mining and agents
Intelligent Techniques:
- Fuzzy, neural, and evolutionary approaches
- Genetic algorithms
- Machine learning
- Expert systems
- Hybrid systems
- Bayesian inference, bootstrap and randomisation
Data Analysis and Data Mining:
- Exploratory and automated data analysis
- Knowledge-based analysis
- Statistical pattern recognition
- Data mining algorithms and processes
- Classification, projection, regression, optimisation clustering
- Information extraction and retrieval
- Multivariate data visualisation
Applications and Tools:
- Visualisation tools
- Applications (e.g. commerce, engineering, finance, manufacturing, science)
- Human-computer interaction in intelligence data analysis
- Business intelligence and data analysis systems and tools