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Hahmann, Martin
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1

Large-Scale Time Series Analytics: Novel Approaches for Gen..:

Hahmann, Martin ; Hartmann, Claudio ; Kegel, Lars.
Datenbank-Spektrum.  19 (2019)  1 - p. 17-29 , 2019
Link: https://doi.org/10.1007/..
 
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2

CSAR: the cross-sectional autoregression model for short an..:

Hartmann, Claudio ; Ressel, Franziska ; Hahmann, Martin..
International Journal of Data Science and Analytics.  8 (2019)  2 - p. 165-181 , 2019
Link: https://doi.org/10.1007/..
 
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3

Feature-based comparison and generation of time series:

, In: Proceedings of the 30th International Conference on Scientific and Statistical Database Management,
Kegel, Lars ; Hahmann, Martin ; Lehner, Wolfgang - p. 1-12 , 2018
Link: https://dl.acm.org/doi/1..
 
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4

Wirtschaft und Recht: Klausuren, Übungen und Lösungen 

Lehr- und Klausurenbücher der angewandten Ökonomik, Band 6
Hahmann, Martin , 2018
Link: https://search.ebscohost..
 
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5

Unternehmensführung: Fallstudien, Klausuren, Übungen und Lö.. 

Lehr- und Klausurenbücher der angewandten Ökonomik, v. 5
Eichenberg, Timm ; Hahmann, Martin ; Hördt, Olga.. , 2017
Link: https://search.ebscohost..
 
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6

Generating What-If Scenarios for Time Series Data:

, In: Proceedings of the 29th International Conference on Scientific and Statistical Database Management,
Kegel, Lars ; Hahmann, Martin ; Lehner, Wolfgang - p. 1-12 , 2017
Link: https://dl.acm.org/doi/1..
 
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7

Challenges for Context-Driven Time Series Forecasting:

Ulbricht, Robert ; Donker, Hilko ; Hartmann, Claudio..
Journal of Data and Information Quality.  7 (2016)  1-2 - p. 1-4 , 2016
Link: https://doi.org/10.1145/..
 
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8

Web-based Benchmarks for Forecasting Systems : The ECAST..:

, In: Proceedings of the 2016 International Conference on Management of Data,
Ulbricht, Robert ; Hartmann, Claudio ; Hahmann, Martin.. - p. 2169-2172 , 2016
Link: https://dl.acm.org/doi/1..
 
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9

Efficient Approximate OLAP Querying Over Time Series:

, In: Proceedings of the 20th International Database Engineering & Applications Symposium,
Perera, Kasun S. ; Hahmann, Martin ; Lehner, Wolfgang.. - p. 205-211 , 2016
Link: https://dl.acm.org/doi/1..
 
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10

Challenges for Context-Driven Time Series Forecasting:

Ulbricht, Robert ; Donker, Hilko ; Hartmann, Claudio..
Journal of Data and Information Quality (JDIQ).  7 (2016)  1-2 - p. 1-4 , 2016
Link: https://dl.acm.org/doi/1..
 
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11

Energy efficiency enhancements for semiconductors, communic..:

Ellinger, Frank ; Mikolajick, Thomas ; Fettweis, Gerhard...
The European Physical Journal Applied Physics.  63 (2013)  1 - p. 14402 , 2013
Link: https://doi.org/10.1051/..
 
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12

Leveraging gamification in demand dispatch systems:

, In: Proceedings of the 2012 Joint EDBT/ICDT Workshops,
Gnauk, Benjamin ; Dannecker, Lars ; Hahmann, Martin - p. 103-110 , 2012
Link: https://dl.acm.org/doi/1..
 
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13

Zwischen Eigennutz und gesellschaftlicher Verantwortung:

, In: Management mit Vision und Verantwortung,
von der Oelsnitz, Dietrich ; Hahmann, Martin - p. 129-153 , 2004
Link: https://doi.org/10.1007/..
 
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14

Komplementäre Managementdiskurse 

Polarisierung oder Paradigmenvielfalt?  Springer eBook Collection, Business and Economics;Kasseler Wirtschafts- und Verwaltungswissenschaften ; 12
Hahmann, Martin - Gabler Edition Wissenschaft . , 2000
Link: http://dx.doi.org/10.100..
 
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15

Vorgehensweise zur Implementation von datenbasierten Assist..:

Gröllich, Daniel ; Hahmann, Martin ; Ott, Gritt.
https://monami.hs-mittweida.de/frontdoor/index/index/docId/14345.  , 2023
Link: https://monami.hs-mittwe..
 
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