Governmental organizations responsible for keeping certain types of fraud under control, often use data-driven methods for both immediate detection of fraud, or for fraud risk analysis aimed at more effectively targeting inspections. A blind spot in such methods, is that the source data often represents a 'paper reality'. Fraudsters will attempt to disguise themselves in the data they supply painting a world in which they do nothing wrong. This blind spot can be counteracted by enriching the data with traces and indicators from more 'real-world' sources such as social media and internet. One of the crucial data management problems in accomplishing this enrichment is how to capture and handle data quality problems. The presentation will star...
We aim to investigate how statistical tools can help detect potential data fabrication in the social...
International audienceAs data types and data structures change to keep up with evolving technologies...
Motivation and Problem Statement: In the context of increasing digitalization and the worldwide incr...
A system is considered to be safety-critical when its failure may lead to unacceptable consequences ...
We are living in a world of information abundance, surplus, and access. We have technologies to acqu...
Fraud Analytics refers to the use of Big Data Analytics to detect fraud. Numerous techniques, from d...
High Quality Data are the precondition for examining and making use of enormous facts and for making...
AbstractAlthough fraud is not a new issue, the current financial crisis has enlightened that fraud o...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Massive amount of data are available for organisations to drive their business ahead of the competit...
Big Data is the term used for massive amount of data collected by different means and in various for...
Abstract — A data distributor has given sensitive data to a set of supposedly trusted agents (third ...
Online data contains a wealth of information, but as with most user-generated content, it is full of...
Detect fraud earlier to mitigate loss and prevent cascading damageFraud Analytics Using Descriptive,...
The combination of data and technology is having a high impact on the way we live. The world is get...
We aim to investigate how statistical tools can help detect potential data fabrication in the social...
International audienceAs data types and data structures change to keep up with evolving technologies...
Motivation and Problem Statement: In the context of increasing digitalization and the worldwide incr...
A system is considered to be safety-critical when its failure may lead to unacceptable consequences ...
We are living in a world of information abundance, surplus, and access. We have technologies to acqu...
Fraud Analytics refers to the use of Big Data Analytics to detect fraud. Numerous techniques, from d...
High Quality Data are the precondition for examining and making use of enormous facts and for making...
AbstractAlthough fraud is not a new issue, the current financial crisis has enlightened that fraud o...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Massive amount of data are available for organisations to drive their business ahead of the competit...
Big Data is the term used for massive amount of data collected by different means and in various for...
Abstract — A data distributor has given sensitive data to a set of supposedly trusted agents (third ...
Online data contains a wealth of information, but as with most user-generated content, it is full of...
Detect fraud earlier to mitigate loss and prevent cascading damageFraud Analytics Using Descriptive,...
The combination of data and technology is having a high impact on the way we live. The world is get...
We aim to investigate how statistical tools can help detect potential data fabrication in the social...
International audienceAs data types and data structures change to keep up with evolving technologies...
Motivation and Problem Statement: In the context of increasing digitalization and the worldwide incr...