Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
 

Dr. Hazar Harmouch

Postdoctoral Researcher

Infomation Systems Research Group 
Hasso-Plattner-Institut | Universität Potsdam
Prof.-Dr.-Helmert-Straße 2-3, D-14482 Potsdam
 

Contact Information

Research

Research Interests

  • Data quality for AI (fairness, non-discrimination, privacy)
  • Data profiling, integration and cleaning
  • Data mining and machine learning
  • Similarity search

Program committee memberships

  • The research Track:  SIGMOD 2022
  • The demo-Program: BTW 2021

Dissertation

Single-column data profiling

 

Teaching

Seminars:

Master Thesis:

  • Inferring Regular Expressions from Database Columns (Tobias Niedling, 2021)
  • Finding Related Tables on the Web (Fabian Windheuser, 2019)

Projects

Selected Talks

Publications

2021

  • 1.
    Harmouch, H., Papenbrock, T., Naumann, F.: Relational Header Discovery using Similarity Search in a Table Corpus. IEEE International Conference on Data Engineering (ICDE). 444–455 (2021).
     

2019

  • Inclusion Dependency Disc... - Download
    1.
    Dürsch, F., Stebner, A., Windheuser, F., Fischer, M., Friedrich, T., Strelow, N., Bleifuß, T., Harmouch, H., Jiang, L., Papenbrock, T., Naumann, F.: Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms. Proceedings of the International Conference on Information and Knowledge Management (CIKM). pp. 219–228 (2019).
     

2018

  • Discovery of Genuine Func... - Download
    1.
    Berti-Equille, L., Harmouch, H., Naumann, F., Novelli, N., Thirumuruganathan, S.: Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. Proceedings of the VLDB Endowment (PVLDB). pp. 880–892 (2018).
     

2017

  • Cardinality Estimation: A... - Download
    1.
    Harmouch, H., Naumann, F.: Cardinality Estimation: An Experimental Survey. Proceedings of the VLDB Endowment (PVLDB). pp. 499–512 (2017).
     

2016

  • Data Anamnesis: Admitting... - Download
    1.
    Kruse, S., Papenbrock, T., Harmouch, H., Naumann, F.: Data Anamnesis: Admitting Raw Data into an Organization. IEEE Data Engineering Bulletin. 39, 8–20 (2016).