Detekce manipulace s ekonomickými daty s využitím data miningu

Ahmed Samir Mohamed Abdelaziz Alashrafy

Master's thesis

Detection of Manipulation in Economic Data Using Data Mining Techniques

Abstract:

Following the increasing use of public procurement all over the world and most of governments started to store the related data in a database, the subject of detecting fraud in procurement bidding has become more researchable and important topic. In this study, we will provide an overview of the bid rigging detection efforts from both public and private entities, then we will introduce an overview of the most important data mining techniques and algorithms which we will use to figure out how we can detect some bid rigging strategies using these techniques. The new approach in this research that we will use a real data from both private entity and Egyptian governments to show how it works better than the existence system for detect the bid rigging which almost depend on the hard evidence to detect it without using some advanced technical techniques for detection.

Keywords

Data Mining Techniques, Bid Rigging, Association Rules

Language used: English

Date on which the thesis was submitted / produced: 11. 5. 2015

Thesis defence

• Date of defence: 21. 5. 2015
• Supervisor: RNDr. Petr Tučník, Ph.D.
• Reader: Ing. Karel Mls, Ph.D.

University of Hradec Králové

Faculty of Informatics and Management

Master programme / field:
Systémové inženýrství a informatika / Informační management