Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Towards a New Data Mining-Based Approach for Anti-Money Laundering in an International Investment Bank
An efficient Search Tool for an Anti-Money Laundering Application of an Multi-national Bank's Dataset
Exploration of the effectiveness of expectation maximization algorithm for suspicious transaction detection in anti-money laundering
Fighting money laundering with technology: A case study of Bank X in the UK
Data mining techniques in detecting and predicting cyber crimes in banking sector
Detection of money laundering groups using supervised learning in networks
A decision support based on data mining in e-banking
Client Profiling for an Anti-Money Laundering System
Project on Clustering Algorithms for Anti-Money Laundering Using Graph Theory and Social Network Analysis
the fincen artificial intelligence system : identifying potential money laundering from reports of large cash transactions .
NextGen AML: Distributed Deep Learning based Language Technologies to Augment Anti Money Laundering Investigation
An Anti-Money Laundering Methodology: Financial Regulations, Information Security and Digital Forensics Working Together
Research on Money Laundering Detection Based on Improved Minimum Spanning Tree Clustering and Its Application
A Comprehensive Survey of Data Mining-based Fraud Detection Research
A Solution for Preventing Fraudulent Financial Reporting using Descriptive Data Mining Techniques
combining data mining and machine learning for effective fraud detection * .
Agent-oriented ontology for monitoring and detecting money laundering process
Sequence Matching for Suspicious Activity Detection in Anti-Money Laundering
Discovering golden nuggets: data mining in financial application
Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case.
A Money Laundering Risk Evaluation Method Based on Decision Tree
The two-process theory of face processing: Modifications based on two decades of data from infants and adults
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation
mathematical theory of the wigner - weisskopf atom .
Knowledge-worker productivity: the biggest challenge
Introduction to Algorithms