AI Approaches to Fraud Detection and Risk Management: Papers from the 1997 AAAI Workshop
Contents
The Effect of Alternate Scaling Approaches on the Performance of Different Supervised Learning Algorithms. An Empirical Study in the Case of Credit Scoring
PDFJAM: Java Agents for Meta-Learning over Distributed Databases
PDFCredit Card Fraud Detection Using Meta-Learning: Issues and Initial Results
PDFRisk Management in the Financial Services Industry: Through a Statistical Lens
PDFIntrusion Detection with Neural Networks
PDFNeuro-Fuzzy Approaches to Decision Making: An Application to Check Authorization from Incomplete Informatio
PDFAnalysis and Visualization of Classifier Performance with Nonuniform Class and Cost Distributions
PDFLearning Patterns from Unix Process Execution Traces for Intrusion Detection
PDFSequence Matching and Learning in Anomaly Detection for Computer Security
PDFPreface
PDFProspective Assessment of AI Technologies for Fraud Detection: A Case Study
PDFClustering and Prediction for Credit Line Optimization
PDFBreak Detection Systems
PDFRisk and Fraud in the Insurance Industry
PDFCombining Data Mining and Machine Learning for Effective Fraud Detection
PDFDetecting Cellular Fraud Using Adaptive Prototypes
PDFA Multi-Agent Systems Approach for Fraud Detection in Personal Communication Systems
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