Our group includes PostDocs, PhD students, and student assistants, and is headed by Prof. Felix Naumann. If you are interested in joining our team, please contact Felix Naumann.

For bachelor students we offer German lectures on database systems in addition to paper- or project-oriented seminars. Within a one-year bachelor project, students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, and information retrieval enhanced by specialized seminars, master projects and we advise master theses.

Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our datasets and source code.

Please do not hesitate to reach out directly to us, if you cannot find a paper, slides, or other research artifacts.

Repeatability - MDs

This is a repeatability page for MD discovery algorithms. The algorithms are provided in the state their results have been published, but they may not represent the most recent version of their implementations. To get the more up-to-date version of the algorithms, use the binaries provided here.

MD Algorithms

HyMD	jar	code
MDedup		code

Datasets

All MD algorithms have been exhaustively tested on the following datasets:

Name	Source	Columns	Rows	LHS	Size	MDs
adult	uci	15	32.561	10⁵	3.528 KB	91
restaurants	cs.texas.edu	6	864	10⁶	63 KB	7
ncvoters	ncsbe.gov	22	15.245.799	10⁹	1.491 MB	369
hgi	medicare.gov	14	4830	10¹⁰	707 KB	289
pcm	medicare.gov	14	9342	10¹⁰	2.007 KB	557
cora	hpi	16	1.879	10¹²	367 KB	2001
flight	bts.gov	38	1.000	10²²	187 KB	14170
hospital	medicare.gov	134	9.342/4.830	10²²	2.714 KB	3544
amazon-walmart	magellan	13	24.583		41.541 KB	132,732
cddb	freedb.org	6	9.763		3.255 KB	11
census	secondstring	5	841		27 KB	15
dblp-scholar	dbs leipzig	5	66.789		9.225 KB	5

Chair

Prof. Dr. Felix Naumann

Information Systems

E-Mail: felix.naumann(at)hpi.de

Assistant: Diana Stephan

Office: Campus II, House F, F-2.01
Tel.: +49 (0)331 5509-280
Fax: +49 (0)331 5509-287
E-Mail: office-naumann(at)hpi.de

To visit us, please see these directions.

Project highlights

Metanome: Big Data Profiling

Data Preparation

Janus: Change exploration

KITQAR: AI and Data Quality

Repeatability - MDs

MD Algorithms

Datasets

Chair

News

03.04.2024 | Congratulations to the EDBT Best Paper Award!

05.03.2024 | Another Paper marked as reproducible by pVLDB Reproducibility Committee

21.01.2024 | Paper accepted at W-NUT 2024

19.12.2023 | Congratulations Dr. Gerardo Vitagliano!

13.12.2023 | Two papers accepted at EDBT Conference 2024

Project highlights

People and open positions