- Performs Boolean as well as multi-value analysis
- Analyzes the data by discovering all the if-then rules
- Reveals necessary and sufficient conditions (if-and-only-if rules)
- Calculates the error probability of each rule
- Calculates the best segmentations of the continuous (numeric) fields
- Calculates the prediction power of each field
- Summarizes the data graphically by presenting the main rules and trends
- Reveals the interesting phenomena in the data by uncovering the unexpected rules
- Points out cases deviating from the discovered rules – unexpected cases
- Predicts new cases on the basis of the discovered rules
- Explains predictions by listing relevant rules
- Calculates the prediction’s conclusive probability
- Calculates the prediction’s error probability
- Predictions are based on error costs (a cost of a miss vs. false alarm)
- Predictions are not influenced by subjective choices
- User does not have to be an expert in statistics or data mining algorithms
- Proven to be faster and more accurate than other data mining methods
Applications:
Reveals patterns in the data and issues critical predictions in many areas:
- Credit risk in banking and business
- Insurance risks and assessments
- Most likely buyers for specific products in direct marketing
- Most likely viewers on the website
- Customer retention
- Most successful companies in the stock market
- Fraud detection
- Patterns of failures in manufacturing and maintenance
- Patterns and trends in social and physical sciences data
- Medical diagnosis and bio-informational research
Technical specifications:
- Reads directly dBase, MS Access, MS SQL and Oracle databases
- Reads any database through ODBC or OLE DB
- Reads any ASCII file
- Can either read one table or join several tables
- Full 32-bit application for Windows 7 / 8
- Supports multi-processor operation
