English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The application of data and text mining technologies in business intelligence solutions can give a great contribution to fighting money laundering and terrorist financing. These crimes are multiform and so laws are important, but they can’t be the only tool to contrast them. Money laundering is a well known offence, but it abandons classic methods in favour of new schemes, thanks to informatics: so called “cyber-laundering”. Money laundering has assumed great relevance since September 11th 2001, because it shows many links to terrorist financing. Data and text mining can be useful in understanding links between people and suspicious transactions in order to track real money laundering and terrorist financing activities. There are American and European initiatives in which data/text mining and business intelligence assume a strategic rule. However, these applications have a critical aspect that involves privacy.

Money laundering, terrorist financing and how to contrast them: data and text mining in business intelligence solutions