Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.
Jonas SteinDaniëlle SchumanMagdalena BenkardThomas HolgerWanja SajkoMichael KölleJonas NüßleinLeo SünkelOlivier SalomonClaudia Linnhoff-PopienPublished in: ICAART (2) (2024)
Keyphrases
- fraud detection
- boltzmann machines
- unsupervised anomaly detection
- intrusion detection
- anomaly detection
- boltzmann machine
- semi supervised
- outlier detection
- data mining techniques
- learning tasks
- cost sensitive
- social network analysis
- data mining
- approximate inference
- online auctions
- generative model
- machine learning
- conditional random fields
- undirected graphical models
- neural network
- electronic commerce
- pairwise
- social networks