Work

Potential Fraud Detection in Carbon Emission Allowance Markets Using Unsupervised Machine Learning Models

Year: 2024

Type: conference-paper

Source: International Conference on Signal Processing and Intelligent Systems (ICSPIS)

DOI: 10.1109/icspis65223.2024.10931097

Authors: Seyed Ali Hosseini, Francesco Grimaccia, Alessandro Niccolai, Marco Lorenzo, Fabio Casamatta

Institutions: Politecnico di Milano, A2A (Italy)

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4408839617

FWCI: 2.082

Cites: 16

Cited by: 3

Related to: 10