Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines
A computational model for financial reporting fraud detection
Neural network detection of management fraud using published financial data
A NEW BINARY SUPPORT VECTOR SYSTEM FOR INCREASING DETECTION RATE OF CREDIT CARD FRAUD
combining data mining and machine learning for effective fraud detection * .
CoDetect: Financial Fraud Detection With Anomaly Feature Detection
A System Based on Intrinsic Features for Fraudulent Document Detection
Density-based clustering and radial basis function modeling to generate credit card fraud scores
A state of the art survey of data mining-based fraud detection and credit scoring
Detection of Fraudulent Sellers in Online Marketplaces using Support Vector Machine Approach
Prediction of financial information manipulation by using support vector machine and probabilistic neural network
A state-of-the-art review of machine learning techniques for fraud detection research
Selection of Support Vector Machines based classifiers for credit risk domain
Rudiments of rough sets
Fraud detection in big data using supervised and semi-supervised learning techniques
Hidden Markov Model and Genetic Algorithm Based Credit Card Fraud Detection
Fraud Detection with Density Estimation Trees
FraudFind: Financial fraud detection by analyzing human behavior
Learning from WorldCom: Implications for Fraud Detection Through Continuous Assurance
Data mining techniques for Fraud Detection
Detecting falsified financial statements: a comparative study using multicriteria analysis and multivariate statistical techniques
The Nature of Statistical Learning Theory
2.6 GHz 4 watt GaN-HEMT two-stage power amplifier MMIC for LTE small-cell applications
6LoWPAN security: adding compromise resilience to the 802.15.4 security sublayer
Multimodal interfaces: Challenges and perspectives
Efficiently correlating complex events over live and archived data streams