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Information logistics solutions to cope with big data challenges in AAL and telemedicine

: Meister, Sven


Wichert, Reiner (Ed.); Klausing, Helmut (Ed.):
Ambient Assisted Living. 7. AAL-Kongress 2014 : Berlin, Germany, January 21-22, 2014
Cham: Springer International Publishing, 2015 (Advanced technologies and societal change)
ISBN: 978-3-319-11865-9 (Print)
ISBN: 978-3-319-11866-6 (Online)
DOI: 10.1007/978-3-319-11866-6
Kongress Ambient Assisted Living (AAL) <7, 2014, Berlin>
Fraunhofer ISST ()
Big Data; Information logistics; AAL; telemedicine

The extensive usage of information and communication technologies (ICT) within the area of Ambient Assisted Living (AAL) and telemedicine results in a continuously increasing amount of heterogeneous data. Data, on the one hand, isn’t tantamount to information on the other. Data has to be transformed into demand fulfilling information to cope with one the biggest problems in information science: data and information overload. The objective of this paper is to introduce technologies like Complex Event Processing (CEP) as well as Data Mining (DM) and Machine Learning (ML) to develop approaches to cope with the problem of information overload in health care according to the principles of Information Logistics (ILOG). We’ll present a solutions called Telemedical ILOG Event Engine (TiEE).