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Daniel Puschmann
Daniel Puschmann
Data Services Engineer, District Technologies
Verified email at district-tech.com
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Cited by
Year
CityPulse: Large Scale Data Analytics Framework for Smart Cities
D Puiu, P Barnaghi, R Tönjes, D Kümper, MI Ali, A Mileo, JX Parreira, ...
IEEE Access 4, 1086-1108, 2016
2152016
A practical evaluation of information processing and abstraction techniques for the internet of things
F Ganz, D Puschmann, P Barnaghi, F Carrez
IEEE Internet of Things journal 2 (4), 340-354, 2015
1532015
A knowledge-based approach for real-time iot data stream annotation and processing
S Kolozali, M Bermudez-Edo, D Puschmann, F Ganz, P Barnaghi
2014 IEEE International Conference on Internet of Things (iThings), and IEEE …, 2014
1332014
Adaptive Clustering for Dynamic IoT Data Streams
D Puschmann, P Barnaghi, R Tafazolli
IEEE Internet of Things Journal 4 (1), 64-74, 2017
892017
On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data
Ş Kolozali, D Puschmann, M Bermudez-Edo, P Barnaghi
IEEE Internet of Things Journal 3 (6), 1084-1098, 2016
312016
Using LDA to Uncover the Underlying Structures and Relations in Smart City Data Streams
D Puschmann, P Barnaghi, R Tafazolli
IEEE Systems Journal 12 (2), 1755-1766, 2018
212018
Learning from data to predict future symptoms of oncology patients
N Papachristou, D Puschmann, P Barnaghi, B Cooper, X Hu, R Maguire, ...
PloS one 13 (12), e0208808, 2018
142018
Extracting information from heterogeneous internet of things data streams.
DP Puschmann
University of Surrey, 2018
32018
Marginal distribution clustering of multi-variate streaming IoT data
D Puschmann, P Barnaghi, R Tafazolli
2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 466-471, 2016
32016
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