direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

Mohammad Mahdavi

Lupe

Mohammad Mahdavi is a PhD candidate and research assistant at Big Data Management group. He received his MSc degree in Artificial Intelligence from University of Tehran. His main interests are data integration, machine learning and information retrieval.

Currently, he is working on the recommending data cleaning workflows. The aim of this is to recommend the best workflow of data cleaning based on the previous data cleaning efforts.  

Contact Information
CV:
cv.pdf
E-mail:
m.mahdavi∂mailbox.tu-berlin.de
GitHub:
github.com/m-mahdavi
Contributions
Project
paper
Presentation
repository
?
?
?
Raha
SIGMOD 2019
SIGMOD 2019
GitHub
CLRL
EDBT 2019
EDBT 2019
GitHub
REDS
SSDBM 2019
SSDBM 2019
GitHub
Abstraction Layer
GitHub
Publications
Mohammad Mahdavi, Ziawash Abedjan, Raul Castro Fernandez, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, and Nan Tang (2019). Raha: A Configuration-Free Error Detection System . SIGMOD.
Öykü Özlem Çakal, Mohammad Mahdavi and Ziawasch Abedjan (2019). CLRL: Feature Engineering for Cross-Language Record Linkage . EDBT.
Mohammad Mahdavi and Ziawash Abedyan (2019). REDS: Estimating the Performance of Error Detection Strategies Based on Dirtiness Profiles . SSDBM.

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions