News

We are happy to announce that the following paper has been accepted for publication at the International Conference on Machine Learning (ICML):

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics

Our paper on Research Data Management within the EXC SimTech has been accepted to the Datenbank-Spektrum. 

Bernd Flemisch, Sibylle Hermann, Melanie Herschel, Dirk Pflüger, Jürgen Pleiss, Jan Range, Sarbani Roy, Makoto Takamoto, Benjamin Uekermann
Research Data Management in Simulation Science: Infrastructure, Tools, and Applications

Larissa C. Shimomura has joined our team as a postdoctoral researcher. She will be working on data integration and data cleaning for AEC data, as part of our research in the Cluster of Excellence IntCDC.  

We are delighted that the following demonstration paper has been accepted to ICDE 2024. 

Nico Lässig, Ole Nies, Melanie Herschel
FairCR - an evaluation and recommendation system for fair classification algorithms

The following paper has been accepted to the PAKDD 2024 conference. 

Julia Meißner, Dominik Göddeke, Melanie Herschel
Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations

We are excited to announce that the following paper has been accepted to the International Conference on Extending Database Technology (EDBT) 2024.

Nico Lässig, Melanie Herschel:
FALCC: Efficiently performing locally fair and accurate classifications

Prof. Herschel has been appointed to the Expert Committee for National Research Data Infrastructure by the DFG. 

Aditya has joined the Data Engineering team as a research assistant.

The following paper has been accepted to the International Workshop on Data Ecosystems (DEco), held in conjunction with VLDB 2022. 

Sarah Oppold, Melanie Herschel:
Trust in data engineering: reflection, framework, and evaluation methodology

The following paper has been accepted to the International Conference on Extending Database Technology (EDBT) 2023. 

Leonardo Gazzarri, Melanie Herschel:
Progressive Entity Resolution over Incremental Data

We are happy to announce that the following paper has been accepted for publication at the International Conference on Very Large Databases (VLDB):

Kaiping Zheng, Shaofeng Cai, Horng-Ruey Chua, Melanie Herschel, Meihui Zhang, Beng Chin Ooi:
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics

The following short paper has been accepted to the International Workshop on Theory and Practice of Provenance (TAPP), held in conjunction with ACM SIGMOD 2022. 

Sarah Oppold, Melanie Herschel:
Provenance-based explanations: are they useful?

The following paper has been accepted to the Forum of the International Conference on Advanced Information Systems Engineering (CAISE) 2022.

Nico Lässig, Melanie Herschel, Alexander Reichle, Carsten Ellwein, Alexander Verl:
The ArchIBALD Data Integration Platform: Bridging Fragmented Processes in the Building Industry.

Ralf Diestelkämper has successfully defended his PhD thesis. His research focused on "Explaining existing and missing results over nested data in big data analytics systems".

We look forward to presenting our accepted demonstration of the Breadcrumb system at VLDB 2021.

Ralf Diestelkämper, Seokki Lee, Boris Glavic, Melanie Herschel: Debugging Missing Answers for Spark Queries over Nested Data with Breadcrumb.

The following paper has been accepted to the International Workshop on Theory and Practice of Provenance (TAPP), held in conjunction with Provenance Week 2021. 

Julia Kühnert, Dominik Göddeke, Melanie Herschel: Provenance-integrated parameter selection and optimization in numerical simulations.

We are happy to announce that the following two papers have been accepted for publication in the research track of the ACM SIG Conference on Management of Data (SIGMOD) 2021. 

Ralf Diestelkämper, Seokki Lee, Melanie Herschel, Boris Glavic: To not miss the forest for the trees - A holistic approach for explaining missing answers over nested data.

Kaiping Zheng, Gang Chen, Melanie Herschel, Kee Yuan Ngiam, Beng Chin Ooi, Jinyang Gao: PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.

Houssem Ben Lahmar had successfully defended his Ph.D. dissertation. His research focused on "Provenance-based visual data exploration".

Nico Lässig has joined our team as a PhD student. Hi will work on an interdisciplinary EXC IntCDC project in collaboration with the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) , focusing on data management solutions for integrative and adaptive design and manufacturing in the construction industry.

The paper entitled End-to-end Task Based Parallelization for Entity Resolution on Dynamic Data by Leonardo Gazzarri and Melanie Herschel has been accepted as full research paper at ICDE 2021.

Melanie Herschel joined the National University of Singapore as visiting research professor.  

The paper entitled Accountable data analytics start with accountable data: the LiQuID metadata model by Sarah Oppold and Melanie Herschel has been accepted for presentation at the ER Forum of the International Conference on Conceptual Modeling (ER) 2020. 

We are honoured that our ADBIS paper on Distributed Tree-Pattern Matching in Big Data Analytics Systems by Ralf Diestelkämper and Melanie Herschel received the Best Paper Award at ADBIS 2020.

The paper entitled Collaborative filtering over evolution provenance data for interactive visual data exploration by Houssem Ben Lahmar and Melanie Herschel has been accepted for publication in the Information Systems journal.

The paper entitled Distributed Tree-Pattern Matching in Big Data Analytics Systems by Ralf Diestelkämper and Melanie Herschel has been accepted as full paper to be presented at ADBIS 2020. 

Julia Kühnert has joined our team as a PhD student. She will work on a joint interdisciplinary SimTech project with the Mathematics department on capturing novel kinds of provenance in simulation computations.

The paper entitled A System Framework for Personalized and Transparent Data-Driven Decisions by Sarah Oppold and Melanie Herschel has been accepted as full paper at CAiSE 2020. 

The paper entitled Boosting Blocking Performance in Entity Resolution Pipelines: Comparison Cleaning using Bloom Filters by Leonardo Gazzarri and Melanie Herschel has been accepted to the short paper track of EDBT 2020. 

The paper entitled Tracing nested data with structural provenance for big data analytics by Ralf Diestelkämper and Melanie Herschel has been accepted as full paper at EDBT 2020.