Data Mining – optimizing processes with relevant knowledge
Wherever large amounts of data occur, data mining can be used to generate relevant knowledge. The data mining business is becoming more and more significant today because processes are becoming more and more complex and the scope of information much larger. The City of Dortmund Economic Development Agency provides support for companies working in this segment.
A whole range of different companies and research institutes involved in the field of data mining have already set up here in our city: for example, the “876” special research group was established at the TU Dortmund University where they carry out research into pattern recognition and the development of prediction possibilities, and the Leibniz Institute for Analytical Sciences (ISAS) is involved in pattern recognition in surface analyses. Data mining is used in logistics as well - the Fraunhofer Institute for Software and Systems Technology analyses procurement processes in automobile logistics from their headquarters in Dortmund.
Business and science both use large amounts of data more and more frequently. After IBM and SAS, RapidMiner GmbH is one of the world’s leaders in this field. For example, data is used to develop applications for the public health sector in the USA or to support the insurance business. Divis GmbH, based in Dortmund, focuses on the field of predictive maintenance.
The City of Dortmund Economic Development Agency runs topic-related events to provide a framework for networks and knowledge transfer in the field of data mining in Dortmund. At the GeoRoundtable meets DataMining, at the BARsession or the Westfalenkongress, local stakeholders are given the opportunity to make use of new network platforms for their companies. The aim is to develop a nationwide DataMining work-camp in the Dortmunder U and to gain the stakeholders as ambassadors for Dortmund.