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TU Berlin

Inhalt des Dokuments

Welcome to the Big Data Management Group at the TU Berlin!

Key attributes of Big Data can be described by the three (or several) "V's": Big Volume, Big Velocity, and Big Variety. In this group, we mainly focus on the last "V", the Big variety of data: 

To use and combine data from E-commerce, sensors, and social media services, integration and curation routines have to be employed. The heterogeneity of data impedes the seamless integration of different sources, requiring human intervention in form of exhaustive profiling and data preparation efforts. Hence, research on Big Data calls for scalable data profiling and integration systems that enable curation and consumption of large and many and diverse data sources.

Along with profiling and integration of large datasets, the deployment of sophisticated analytics on data (big analytics) is strongly related to the above mentioned problem. We are interested in systems that leverage mining and machine learning techniques to derive knowledge from dirty and poorly organized data. This includes developing sketching and summarizing techniques that reduce a big dataset to its relevant core information.

Neuigkeiten

Paper accepted for JDIQ

08. November 2019

Our paper on "Anatomy of metadata for Data Curation" was accepted for publication at JDIQ. mehr zu: Paper accepted for JDIQ

Paper Accepted for Datenbank-Spektrum 2019

30. August 2019

Our paper was accepted for Datenbank-Spektrum 2019. mehr zu: Paper Accepted for Datenbank-Spektrum 2019

Paper Accepted for CIKM 2019

10. August 2019

Our paper was accepted for CIKM 2019. mehr zu: Paper Accepted for CIKM 2019

Paper Accepted for LWDA 2019

25. Juli 2019

Our paper was accepted for LWDA 2019. mehr zu: Paper Accepted for LWDA 2019

Paper Accepted for SIGMOD 2019

05. Mai 2019

Our paper on the configuration-free error detection system was accepted for SIGMOD 2019. mehr zu: Paper Accepted for SIGMOD 2019

Paper Accepted for SSDBM 2019

05. Mai 2019

Our paper on the estimating the error detection performance was accepted for SSDBM 2019. mehr zu: Paper Accepted for SSDBM 2019

First Prize at BTW Data Science Challenge 2019

07. März 2019

Mahdi Esmailoghli and his team won the BTW Data Science Challenge in 2019. mehr zu: First Prize at BTW Data Science Challenge 2019

Short Paper accepted for EDBT 2019

30. Dezember 2018

We are happy to announce that our short paper "Feature Engineering for Cross-Language Record Linkage" by Öykü Özlem Çakal, Mohammad Mahdavi and Ziawasch Abedjan was accepted for presentation at EDBT 2019. mehr zu: Short Paper accepted for EDBT 2019

Paper accepted for ICDE 2019

17. Dezember 2018

We are happy to announce that our research paper "Unsupervised String Transformation Learning for Entity Consolidation" was accepted for publication in the ICDE 2018 proceedings. mehr zu: Paper accepted for ICDE 2019

New Book on Data Profiling

23. November 2018

We are happy to announce that our book on "Data Profiling", written by Ziawasch Abedjan, Lukasz Golab, Felix Naumann, and Thorsten Pappenbrock, is published by Morgan and Claypool and available for purchase. mehr zu: New Book on Data Profiling

Larysa receives PAS Scholarship

21. September 2018

Larysa Visengeriyeva received a PAS scholarship that is awarded to female researchers in the final phase of their dissertation. mehr zu: Larysa receives PAS Scholarship

Visit by Michael Stonebraker

21. September 2018

Michael Stonebraker visits the BigDaMa group at the TU Berlin and gives a talk in the BBDC Seminar. mehr zu: Visit by Michael Stonebraker

Chapter published in eBISS 2017

27. August 2018

Prof. Abedjan contributed one chapter to the sevenths volume of the eBISS series titled "Business Intelligence and Big Data". mehr zu: Chapter published in eBISS 2017

Paper accepted for SSDBM 2018

14. Mai 2018

Our paper on Metadata-Driven Error Detection was accepted for SSDB 2018. mehr zu: Paper accepted for SSDBM 2018

Paper accepted for ICDE 2018

13. Februar 2018

Our paper on data discovery was accepted for ICDE 2018. mehr zu: Paper accepted for ICDE 2018

Demo Paper accepted at ICDE

24. Dezember 2017

Our proposal to demonstrate the workflow generation of data civilizer was accepted at ICDE 2018. mehr zu: Demo Paper accepted at ICDE

DFG Grant: Tractable Curation Workflows

03. November 2017

We are pleased to announce that the DFG is supporting our research ... mehr zu: DFG Grant: Tractable Curation Workflows

Zusatzinformationen / Extras

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Contact

Prof. Dr. Ziawasch Abedjan
Big Data Management
Fakultät of EECS (IV)
Building EN 7
Raum EN 723
Einsteinufer 17
10587 Berlin
+49 30 314 28007
+49 30 31421601

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