Data Mining
Data mining is the process of extracting knowledge from data by uncovering previously unknown useful information and relationships.
iPrevent's Data Mining algorithms (over a dozen different algorithms) also include the following tools:
- Data Quality: error correction, outlier detection, imputation of missing values, feature selection,
incoherence correction, data preparation & enrichment algorithms, etc.
- Statistics: regression analysis, correlation, multiple comparison, CHAID, etc.
- Probabilistic Inference: Bayesian networks, graphical model, hierarchical and probabilistic cluster analysis, etc.
- Association rule learning
- Graphical Visualization
- Simulation
- Etc.
