Authors: Backes, Michael
Bockermann, Christian
Bohnen, Fabian
Borchert, Christoph
Clevermann, Fabian
Dusza, Björn
Fielitz, Kathrin
Geppert, Leo
Hauschild, Ann-Christin
Heilmann, Melanie
Ide, Christoph
Jungermann, Felix
Knaup, Timo
Köhne, Jan-Hendrik
Konrad, Benedikt
Kopczynski, Dominik
Kotthaus, Helena
Krümpelmann, Patrick
Lang, Michel
Libuschewski, Pascal
Marcel, Martin
Meier, Matthias
Milke, Natalie
Munteanu, Alexander
Neise, Dominik
Niehöfer, Brian
Nikolah, Strah
Piatkowski, Nico
Plazar, Sascha
Preuß, Marcel
Putzke, Markus
Ruhe, Tim
Rupp, Kathrin
Schwiegelshohn, Chris
Siedhoff, Dominic
Stolpe, Marco
Streicher, Jochen
Tadros, Cornelia
Temme, Sylvie
Thieler, Anita
Thom, Andreas
Timm, Constantin
Uellenbeck, Malwina
Voigt, Tobias
Weber, Daniel
Editors: Morik, Katharina
Rhode, Wolfgang
Title: Providing Information by Resource- Constrained Data Analysis
Other Titles: Technical report for Collaborative Research Center SFB 876
Language (ISO): en
Abstract: The Collaborative Research Center SFB 876 (Providing Information by Resource-Constrained Data Analysis) brings together the research fields of data analysis (Data Mining, Knowledge Discovery in Data Bases, Machine Learning, Statistics) and embedded systems and enhances their methods such that information from distributed, dynamic masses of data becomes available anytime and anywhere. The research center approaches these problems with new algorithms respecting the resource constraints in the different scenarios. This Technical Report presents the work of the members of the integrated graduate school.
Subject Headings: Artificial Intelligence
Data Mining
Eingebettete Systeme
Embedded Systems
Knowledge Discovery
Künstliche Intelligenz
Ubiquitous Systems
URI: http://hdl.handle.net/2003/29262
http://dx.doi.org/10.17877/DE290R-261
Issue Date: 2011-12-23
Appears in Collections:Sonderforschungsbereich (SFB) 876

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