A visual analytics system to support tax evasion discovery-Reference-Cited by-同舟云学术

A visual analytics system to support tax evasion discovery

Published:2018-06 Issue: Volume:110 Page:71-83
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Didimo Walter^ORCID,Giamminonni Luca^ORCID,Liotta Giuseppe^ORCID,Montecchiani Fabrizio^ORCID,Pagliuca Daniele

Funder

University of Perugia

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference31 articles.

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2. Characterization and detection of taxpayers with false invoices using data mining techniques;González;Expert Systems with Applications,2013

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4. An empirical method for discovering tax fraudsters: a real case study of Brazilian fiscal evasion;Matos,2015

5. Mining suspicious tax evasion groups in big data;Tian;IEEE Transactions on Knowledge and Data Engineering,2016

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