Martin Hahmann

Proceedings of the Encyclopedia of Big Data Technologies., 2019

CSAR: the cross-sectional autoregression model for short and long-range forecasting.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2019

Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction.

[BibT_eX]

[DOI]

Datenbank-Spektrum, 2019

2018

Feature-based comparison and generation of time series.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

2017

Generating What-If Scenarios for Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Feature-driven Time Series Generation.

[BibT_eX]

[DOI]

Proceedings of the 29th GI-Workshop Grundlagen von Datenbanken, Blankenburg/Harz, 2017

CSAR: The Cross-Sectional Autoregression Model.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Challenges for Context-Driven Time Series Forecasting.

[BibT_eX]

[DOI]

ACM J. Data Inf. Qual., 2016

Big by blocks: modular analytics.

[BibT_eX]

[DOI]

it Inf. Technol., 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Efficient Approximate OLAP Querying Over Time Series.

[BibT_eX]

[DOI]

Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

Template-based Time Series Generation with Loom.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, 2016

2015

Exploiting big data in time series forecasting: A cross-sectional approach.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Modeling Large Time Series for Efficient Approximate Query Processing.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2015

2014

Feedback-driven data clustering.

[BibT_eX]

[DOI]

PhD thesis, 2014

Systematical Evaluation of Solar Energy Supply Forecasts.

[BibT_eX]

[DOI]

Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Modular Data Clustering - Algorithm Design beyond MapReduce.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

2012

Explorative Multi-View Clustering Using Frequent-Groupings.

[BibT_eX]

[DOI]

Proceedings of the 3rd MultiClust Workshop: Discovering, 2012

Leveraging gamification in demand dispatch systems.

[BibT_eX]

[DOI]

Benjamin Gnauk

Lars Dannecker

Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

2011

Browsing Robust Clustering-Alternatives.

[BibT_eX]

[DOI]

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

Touch it, Mine it, View it, Shape it.

[BibT_eX]

[DOI]

Proceedings of the Datenbanksysteme für Business, 2011

2010

Visual Decision Support for Ensemble Clustering.

[BibT_eX]

[DOI]

Proceedings of the Scientific and Statistical Database Management, 2010

One Clustering Process Fits All - A Visually Guided Ensemble Approach.

[BibT_eX]

[DOI]

Proceedings of the LWA 2010, 2010

Evolving Ensemble-Clustering to a Feedback-Driven Process.

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

2009

Drift-Aware Ensemble Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

How to Control Clustering Results? Flexible Clustering Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

Clustering Uncertain Data with Possible Worlds.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Data Engineering, 2009

2008

Pre analysis and clustering of uncertain data from manufacturing processes.

[BibT_eX]

Proceedings of the LWA 2008, 2008

2007

Parameterfreies Clustering mittels Multi-Level Ansatz.

[BibT_eX]