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Martin Hahmann
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2010 – 2019
- 2019
- [j4]Martin Hahmann, Claudio Hartmann, Lars Kegel, Wolfgang Lehner:
Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction. Datenbank-Spektrum 19(1): 17-29 (2019) - [j3]Claudio Hartmann, Franziska Ressel, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
CSAR: the cross-sectional autoregression model for short and long-range forecasting. Int. J. Data Sci. Anal. 8(2): 165-181 (2019) - [r1]Martin Hahmann:
Big Data Analysis Techniques. Encyclopedia of Big Data Technologies 2019 - 2018
- [c24]Lars Kegel, Martin Hahmann, Wolfgang Lehner:
Feature-based comparison and generation of time series. SSDBM 2018: 20:1-20:12 - 2017
- [c23]Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
CSAR: The Cross-Sectional Autoregression Model. DSAA 2017: 232-241 - [c22]Lars Kegel, Martin Hahmann, Wolfgang Lehner:
Feature-driven Time Series Generation. Grundlagen von Datenbanken 2017: 54-59 - [c21]Lars Kegel, Martin Hahmann, Wolfgang Lehner:
Generating What-If Scenarios for Time Series Data. SSDBM 2017: 3:1-3:12 - 2016
- [j2]Martin Hahmann, Claudio Hartmann, Lars Kegel, Dirk Habich, Wolfgang Lehner:
Big by blocks: modular analytics. it Inf. Technol. 58(4): 176-185 (2016) - [j1]Robert Ulbricht, Hilko Donker, Claudio Hartmann, Martin Hahmann, Wolfgang Lehner:
Challenges for Context-Driven Time Series Forecasting. ACM J. Data Inf. Qual. 7(1-2): 5:1-5:4 (2016) - [c20]Lars Kegel, Martin Hahmann, Wolfgang Lehner:
Template-based Time Series Generation with Loom. EDBT/ICDT Workshops 2016 - [c19]Kasun S. Perera, Martin Hahmann, Wolfgang Lehner, Torben Bach Pedersen, Christian Thomsen:
Efficient Approximate OLAP Querying Over Time Series. IDEAS 2016: 205-211 - [c18]Robert Ulbricht, Claudio Hartmann, Martin Hahmann, Hilko Donker, Wolfgang Lehner:
Web-based Benchmarks for Forecasting Systems: The ECAST Platform. SIGMOD Conference 2016: 2169-2172 - 2015
- [c17]Kasun S. Perera, Martin Hahmann, Wolfgang Lehner, Torben Bach Pedersen, Christian Thomsen:
Modeling Large Time Series for Efficient Approximate Query Processing. DASFAA Workshops 2015: 190-204 - [c16]Claudio Hartmann, Martin Hahmann, Wolfgang Lehner, Frank Rosenthal:
Exploiting big data in time series forecasting: A cross-sectional approach. DSAA 2015: 1-10 - 2014
- [b1]Martin Hahmann:
Feedback-driven data clustering. Dresden University of Technology, 2014, pp. 1-151 - [c15]Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Modular Data Clustering - Algorithm Design beyond MapReduce. EDBT/ICDT Workshops 2014: 50-59 - [c14]Robert Ulbricht, Martin Hahmann, Hilko Donker, Wolfgang Lehner:
Systematical Evaluation of Solar Energy Supply Forecasts. DARE 2014: 108-121 - 2012
- [c13]Benjamin Gnauk, Lars Dannecker, Martin Hahmann:
Leveraging gamification in demand dispatch systems. EDBT/ICDT Workshops 2012: 103-110 - [c12]Martin Hahmann, Markus Dumat, Dirk Habich, Wolfgang Lehner:
Explorative Multi-View Clustering Using Frequent-Groupings. MultiClust@SDM 2012: 31-38 - 2011
- [c11]Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Touch it, Mine it, View it, Shape it. BTW 2011: 746-749 - [c10]Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Browsing Robust Clustering-Alternatives. LWA 2011: 58-64 - [c9]Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Browsing Robust Clustering-Alternatives. MultiClust@ECML/PKDD 2011: 67-79 - 2010
- [c8]Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Evolving Ensemble-Clustering to a Feedback-Driven Process. ICDM Workshops 2010: 401-408 - [c7]Martin Hahmann, Dirk Habich, Maik Thiele, Wolfgang Lehner:
One Clustering Process Fits All - A Visually Guided Ensemble Approach. LWA 2010: 69-74 - [c6]Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Visual Decision Support for Ensemble Clustering. SSDBM 2010: 279-287
2000 – 2009
- 2009
- [c5]Peter Benjamin Volk, Frank Rosenthal, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Clustering Uncertain Data with Possible Worlds. ICDE 2009: 1625-1632 - [c4]Martin Hahmann, Peter Benjamin Volk, Frank Rosenthal, Dirk Habich, Wolfgang Lehner:
How to Control Clustering Results? Flexible Clustering Aggregation. IDA 2009: 59-70 - [c3]Frank Rosenthal, Peter Benjamin Volk, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Drift-Aware Ensemble Regression. MLDM 2009: 221-235 - 2008
- [c2]Peter Benjamin Volk, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
Pre analysis and clustering of uncertain data from manufacturing processes. LWA 2008: 94-100 - 2007
- [c1]Dirk Habich, Martin Hahmann, Wolfgang Lehner:
Parameterfreies Clustering mittels Multi-Level Ansatz. LWA 2007: 36-43
Coauthor Index
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