Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data
Two models to investigate Medicare fraud within unsupervised databases
Health care fraud detection using nonnegative matrix factorization
Fraud detection and frequent pattern matching in insurance claims using data mining techniques
Graph analysis for detecting fraud, waste, and abuse in healthcare data
Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach
Outlier detection for patient monitoring and alerting
Survey on Outlier Detection in Data Mining
Detecting Auto Insurance Fraud by Data Mining Techniques
Data mining to predict and prevent errors in health insurance claims processing
Holistic Approach to Fraud Management in Health Insurance
A survey on the state of healthcare upcoding fraud analysis and detection
A comparative evaluation of outlier detection algorithms: experiments and analyses
Multiple Algorithms for Fraud Detection
A Survey of Outlier Detection Methodologies
A survey of outlier detection methodologies and their applications
An Outlier Detection Model Based on Cross Datasets Comparison for Financial Surveillance
A Comparative Study for Outlier Detection Techniques in Data Mining
Automatic Outlier Detection: A Bayesian Approach
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
A Review and Comparison of Methods for Detecting Outliers in Univariate Data Sets
Selected techniques for data mining in medicine.
Hyperspherical Variational Auto-Encoders
Android taint flow analysis for app sets
early detection of fake news on social media through propagation path classification with recurrent and convolutional networks .
Clicks: An effective algorithm for mining subspace clusters in categorical datasets