Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.
Jonas SteinDaniëlle SchumanMagdalena BenkardThomas HolgerWanja SajkoMichael KölleJonas NüßleinLeo SünkelOlivier SalomonClaudia Linnhoff-PopienPublished in: CoRR (2023)
Keyphrases
- fraud detection
- boltzmann machines
- unsupervised anomaly detection
- intrusion detection
- anomaly detection
- boltzmann machine
- semi supervised
- outlier detection
- learning tasks
- data mining techniques
- cost sensitive
- data mining
- social network analysis
- conditional random fields
- generative model
- undirected graphical models
- approximate inference
- gaussian process
- graphical models
- active learning