News – Data Management

2021/09/20

Our PhD Student Nadja Geisler was awarded the Best Student Presentation Award at DESIRES 2021

She got the award for her presentation on "Quest: A Query-driven Explanation Framework for Black-Box Classifiers on Tabular Data"
2021/09/14

Three papes on Shared Tasks for NLIDBs, Explainable AI, and Interactive Text Exploration accepted to DESIRES 2021

Nadja Geisler and Benjamin Hättasch will present their work at the second conference on Design of Experimental Search & Information REtrieval Systems in Padova

The three papers are “Netted?! How to Improve the Usefulness of Spider & Co.”, “Quest: A Query-driven Explanation Framework for Black-Box Classifiers on Tabular Data”, and “WannaDB: Ad-hoc Structured Exploration of Text Collections Using Queries”. weiter
2021/09/10

Our Postdoc Manisha Luthra was awarded a Grace Hopper Scholarship
2021/08/13

Benjamin Hilprecht has been nominated to present his work "Learned DBMS Components 2.0: From Workload-Driven to Zero-Shot Learning” at LADSIOS 2021

In this talk we present our vision to tackle the high costs and inflexibility of workload-driven learning.
2021/08/13

Our extended abstract "ACID-V: Towards a new class of DBMSs for Data Sharing” was accepted to POLY 2021

We propose to extend the classical ACID properties with a new Verifiability component.
2021/08/13

Our extended abstract "ASET: Ad-hoc Structured Exploration of Text Collections” was accepted to ADIB 2021

We propse a new way to explore textual contents in a structured way
2021/05/05

Our short paper "GalOP – Towards a GPU-accelerated OLTP DBMS” was accepted to DaMoN 2021

In this paper, we propose a GPU-accelerated transaction processing system.
2021/03/22

Our paper "ReStore – Neural Data Completion for Relational Databases ” was accepted to SIGMOD 2021

In this paper, we propose a automated approach for relational data completion.
2021/01/13

Our paper "Towards Learned Metadata Extraction for Data Lakes” was accepted to BTW 2021

In this paper, we analyze how will learned approaches can generalize to new unseen data in real-world data lakes.
2021/01/13

Our paper "DFI: The Data Flow Interface for High-Speed Networks” was accepted to SIGMOD 2021

In this paper, we propose the Data Flow Interface (DFI) – a new way for data processing systems to exploit high-speed networks.

She got the award for her presentation on "Quest: A Query-driven Explanation Framework for Black-Box Classifiers on Tabular Data"

Nadja Geisler and Benjamin Hättasch will present their work at the second conference on Design of Experimental Search & Information REtrieval Systems in Padova

In this talk we present our vision to tackle the high costs and inflexibility of workload-driven learning.

We propose to extend the classical ACID properties with a new Verifiability component.

We propse a new way to explore textual contents in a structured way

In this paper, we propose a GPU-accelerated transaction processing system.

In this paper, we propose a automated approach for relational data completion.

In this paper, we analyze how will learned approaches can generalize to new unseen data in real-world data lakes.

In this paper, we propose the Data Flow Interface (DFI) – a new way for data processing systems to exploit high-speed networks.