Anomaly scoring
Definition
A numeric score assigned to each entity or transaction based on how different it is from the expected population, derived from multiple input features. Scored outputs are ranked so investigators can prioritise high-scoring records.
Related terms
- Explainability
- The degree to which a model's output can be explained in terms of its inputs and logic. Logistic regression and decision trees...
- Isolation Forest
- An unsupervised machine-learning model for anomaly detection. It builds random decision trees and scores each record by the average depth required to...
- Logistic regression (supervised fraud model)
- A classification model trained on historically labelled transactions (fraud vs. legitimate) to estimate the probability that a new transaction is fraudulent. Requires...
- Network analysis (link analysis)
- A method that models entities (people, companies, accounts, addresses) as nodes and connections between them (shared attributes, transactions, ownership) as edges, then...
- Timeline reconstruction
- The assembly of events from multiple data sources onto a chronological axis to establish the sequence of actions in a fraud: when...
Explained in
- Data Analytics in Fraud InvestigationsA numeric score assigned to each entity or transaction based on how different it is from the expected population, derived from multiple input features. Scored...