Brief description and aims of work
The Knowledge Discovery Department (KD) at the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) in Sankt Augustin, Germany, is a research group (50 scientists) located in the field of Machine Learning and Data Mining. Professional experience and expertise in this group include Data Mining, Statistical Relational Learning, Bayesian Statistics, Geographic Information Systems, and Distributed Computing. The group has extensive experience with EU projects, having coordinated in the last 5 years five ICT projects and participated in more than 15. To mention a few, IAIS coordinated the AntiPhish project (Anticipatory Learning for Reliable Phishing Prevention, 2006-2009), and was involved in the ACGT project (Advancing Clinico-Genomic Trials on Cancer, 2006 - 2009), the LifeWatch project (development of an European infrastructure for coping with the biological diversity, 2007 – 2009), the DMGrid project (Datamining tools and services for grid computing environments, 2004-2006) and the IP SIMDAT (Grids for Industrial Product Development, 2004-2008). The group is also currently involved in several nationally funded and industrial projects in Multimedia Mining, Spatial Data Mining and Text Mining.
The focus of work of Fraunhofer IAIS is to integrate data mining and knowledge discovery processes into complex infrastructures such as distributed eScience systems, clouds or process systems, and in particular the development of large scale and privacy preserving data mining algorithms. The main role of Fraunhofer IAIS in p-medicine is to translate data mining techniques into practical solutions for the analysis and prediction of patient data, thus creating a benefit for personalized medicine.