Cortana Background
Scientific Publications
Technical details concerning the algorithms behind Cortana can be found in various scientific publications:
Subgroup Discovery in Ranked Data, with an Application to Gene Set Enrichment
Exceptional Model Mining
Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery
Diverse Subgroup Set Discovery
Flexible Enrichment with Cortana (Software Demo)
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data
Non-Redundant Subgroup Discovery in Large and Complex Data
Subgroup Discovery meets Bayesian networks: an Exceptional Model Mining approach
Discovering Local Subgroups, with an Application to Fraud Detection
A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules
Contributors
The following people have contributed in various ways to the development of Cortana:
Arno Knobbe
Marvin Meeng
Wouter Duivesteijn
Matthijs van Leeuwen
Rob Konijn
Michael Mampaey
Siegfried Nijssen
Iyad Batal
