Prof. Dr. Felix Naumann

Ioannis Koumarelas

Ph.D. candidate student at the Infomation Systems Research Group at Hasso Plattner Institute in IT-Systems Engineering. 

Research Interests

High Interest:

  • Data Cleansing / Data Deduplication / Data Reconsiliation / Record Linkage / Data Matching / ...
  • Address Geocoding
  • Parallel and Distributed Systems
  • Big Data Management

Medium Interest: Machine Learning, Data Mining, Stream Processing, Web Mining, Information Retrieval

Low Interest: Information Theory, Data Science in general, Complexities in all previous and other., Virtualization


Cooperation project with SAP and Concur. Vendors Data Cleansing.

Master Thesis - Topics

If there is an intersection of your research interests with mine, then please contact me. You can find examples of master theses that I am willing to supervise here, or our official web page of list of theses.

Contact Information

Prof.-Dr.-Helmert-Straße 2-3
D-14482 Potsdam
Room: G-3.1.14

Phone: +49 331 5509 1377
Email:  Ioannis Koumarelas (click)

Publication list

Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities

Samiei, Ahmad; Koumarelas, Ioannis; Loster, Michael; Naumann, Felix in ACM , 2016 .

Record linkage is a well studied problem with many years of publication history. Nevertheless, there are many challenges remaining to be addressed, such as the topic addressed by FEIII Challenge 2016. Matching financial entities (FEs) is important for many private and governmental organizations. In this paper we describe the problem of matching such FEs across three datasets: FFIEC, LEI and SEC.
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Combination of Rule-based... - Download
Further Information
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