Martin Atzmueller

Martin Atzmueller is adjunct professor (Privatdozent) at the University of Kassel and heads the Ubiquitous Data Mining Team at the Research Center for Information System Design (ITeG), Hertie Chair for Knowledge and Data Engineering. His research areas include data mining, ubiquitous social computing, web and network science, machine learning, and Big Data. He earned his habilitation (Dr. habil.) in 2013 at the University of Kassel, and received his Ph.D. in Computer Science from the University of Wuerzburg in 2006. He studied Computer Science at the University of Texas at Austin (USA) and at the University of Wuerzburg where he completed his MSc in Computer Science.

Publications

Enterprise Big Data Engineering, Analytics, and Management
Enterprise Big Data Engineering, Analytics, and Management
Martin Atzmueller, Samia Oussena, Thomas Roth-Berghofer. © 2016. 272 pages.
The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to...