Data Integration and Data Preparation
The research group Data Integration and Data preparation (D2IP) is chaired by Prof. Dr. Ziawasch Abedjan. His team conducts fundamental research at the intersection of databases and machine learning. Their goal is to create systems and algorithms that automate the often laborious process of integrating and preparing diverse sources for downstream applications. Specifically, the focus lies in the development of algorithms for streamlined data cleaning, transformation, matching, and discovery. Leveraging the latest advancements in artificial intelligence and programming paradigms, they aim to develop efficient and effective automated solutions for large datasets, to minimize user efforts and broaden the accessibility of data practices.
BIFOLD at the 2024 ACM SIGMOD/PODS Conference
BIFOLD researchers presented four research papers, two demos, one workshop paper and were of a panel at the 2024 ACM SIGMOD/ PODS Conference in Santiago, Chile.
Researcher Spotlight: Felix Neutatz
"Machine Learning and Data Quality" is the first concluded BIFOLD Agility Project. Get to know BIFOLD researcher Felix Neutatz and gain valuable insights into the project, his work and the Agility Program.
“KI ist was es isst”: Prof. Dr. Ziawasch Abedjan on Data Quality at TU Berlin
At the “Tag der Lehre” (Teaching Day) at the TU Berlin on May 27, 2024, BIFOLD Research Group Lead Prof. Dr. Ziawasch Abedjan welcomed the attendees with a 20-minute talk on the quality of training data.
Research Group Lead
Doctoral Researcher
Doctoral Researcher