Breast cancer anomaly detection based on the possibility theory with a clustering paradigm.
Jihen Frikha ElleuchMouna Zouari MehdiMajd BelaajNorhene Gargouri Ben AyedDorra SellamiAlima DamakPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- anomaly detection
- breast cancer
- possibility theory
- intrusion detection
- probability theory
- logistic regression
- unsupervised learning
- incomplete information
- nonmonotonic reasoning
- network traffic
- fuzzy set theory
- intrusion detection system
- conditional independence
- clustering analysis
- belief functions
- network security
- clustering algorithm
- neural network
- detect anomalies
- breast cancer patients
- belief revision
- pattern recognition
- knowledge base
- machine learning