• German
German

Main Navigation

Collaborative Research Center SFB 876 - Providing Information by Resource-Constrained Data Analysis


The collaborative research center SFB876 brings together data mining and embedded systems. On the one hand, embedded systems can be further improved using machine learning. On the other hand, data mining algorithms can be realized in hardware, e.g. FPGAs, or run on GPGPUs. The restrictions of ubiquitous systems in computing power, memory, and energy demand new algorithms for known learning tasks. These resource bounded learning algorithms may also be applied on extremely large data bases on servers.



  Industrial Data Science Conference 2019

The Industrial Data Science Conference gathers experts from various industries and focuses on data science applications in industry, use cases, and best practices to foster the exchange of experience, discussions with peers and experts, and learning from presenters and other attendees.

Digitization, the Internet of Things (IoT), the industrial internet, and Industry 4.0 technologies are transforming complete industries and allow the collection of enormous amounts of data of various types, including Big Data and Streaming Data, structured and unstructured data, text, image, audio, and sensor data. Data Science, Data Mining, Process Mining, Machine Learning, and Predictive Analytics offer the opportunity to generate enormous value and a competitive advantage. Typical use cases include demand forecasting, price forecasting, predictive maintenance, machine failure prediction and prevention, critical event prediction and prevention, product quality prediction, process optimization, mixture of ingredients optimization, and assembly plan predictions for new product designs in industries like automotive, aviation, energy, manufacturing, metal, etc.

Join your peers in the analytics community at IDS 2019 as we explore breakthrough research and innovative case studies that discuss how to best create value from your data using advanced analytics.

Date

March 13th, 2019
Location DASA Arbeitswelt Ausstellung
Web IDS 2019

Alexander Schramm and Sven Rahmann from project C1 investigate the impact of telomeres on neuroblastoma

Neuroblastomas—the most common tumor type in infants—develop from fetal nerve cells, and their clinical course is highly variable. Some neuroblastomas are fatal despite treatment, whereas others respond well to treatment and some undergo spontaneous regression without treatment. Ackermann et al. sequenced more than 400 pretreatment neuroblastomas and identified molecular features that characterize the three distinct clinical outcomes. Low-risk tumors lack telomere maintenance mechanisms, intermediate-risk tumors harbor telomere maintenance mechanisms, and high-risk tumors harbor telomere maintenance mechanisms in combination with RAS and/or p53 pathway mutations. 

 

more ...

Outstanding paper award in IEEE Real-Time Systems Symposium

The research group of Jian-Jia Chen received an outstanding paper award for their paper Dependency Graph Approach for Multiprocessor Real-Time Synchronization in IEEE Real-Time Systems Symposium (RTSS) 2018, Dec. 11-14, Nashville, USA.

 


Show news archive
SFB-876 NEWSLETTER
Newsletter RSS Twitter

NEWEST TECHREPORTS