Archive for » April, 2014 «

Wednesday, April 16th, 2014 | Author:

Today I’m going to give a presentation about my fraud detection research for the SCS chair.

Information Combination and Enrichment for Data-Driven Fraud Detection

Abstract
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 uncertainty in the data. The presentation will start with a real-world example, which is also used as starting point for a problem generalization in terms of information combination and enrichment (ICE). We then present the ICE technology we have developed and a few more applications in which it has been or is intended to be applied. In terms of the 3 V’s of big data — volume, velocity, and variety — this presentation focuses on the third V: variety.

Date: Wednesday, April 16th, 2014
Room: ZI 2042
Time: 12:30-13:30 hrs

Monday, April 07th, 2014 | Author:

Last year we won the #Microposts2013 challenge; this year we came in second for the new #Microposts2014 challenge called NEEL, “Named Entity Extraction and Linking”, that as opposed to last year also involves Entity Disambiguation (by linking to DBpedia).
Named Entity Extraction and Linking Challenge: University of Twente at #Microposts2014 [Download]
Mena Badieh Habib, Maurice van Keulen, Zhemin Zhu