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Daniel Töws
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2010 – 2019
- 2019
- [j1]Marwan Hassani, Daniel Töws, Alfredo Cuzzocrea, Thomas Seidl:
BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. Int. J. Data Sci. Anal. 8(3): 223-239 (2019) - [c9]Hussein Hasso, Michael Dembach, Hanna Geppert, Daniel Toews:
Detection of Defective Requirements using Rule-based Scripts. REFSQ Workshops 2019 - [c8]Daniel Toews, Leif Van Holland:
Determining Domain-Specific Differences of Polysemous Words Using Context Information. REFSQ Workshops 2019 - 2018
- [c7]Daniel Toews, Timm Heuss:
Research on NLP for RE at Fraunhofer FKIE: A Report on Grouping Requirements. REFSQ Workshops 2018 - 2017
- [c6]Marwan Hassani, Daniel Töws, Thomas Seidl:
Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. SAC 2017: 866-869 - 2016
- [c5]Dimitri Block, Daniel Toews, Uwe Meier:
Implementation of efficient real-time industrial wireless interference identification algorithms with fuzzified neural networks. EUSIPCO 2016: 1738-1742 - 2015
- [c4]Daniel Töws, Marwan Hassani, Christian Beecks, Thomas Seidl:
Optimizing Sequential Pattern Mining Within Multiple Streams. BTW Workshops 2015: 223-232 - [c3]Marwan Hassani, Christian Beecks, Daniel Töws, Tatiana Serbina, Max Haberstroh, Paula Niemietz, Sabina Jeschke, Stella Neumann, Thomas Seidl:
Sequential Pattern Mining of Multimodal Streams in the Humanities. BTW 2015: 683-686 - [c2]Dimitri Block, Niels Hendrik Fliedner, Daniel Toews, Uwe Meier:
Wireless channel measurement data sets for reproducible performance evaluation in industrial environments. ETFA 2015: 1-4 - [c1]Marwan Hassani, Christian Beecks, Daniel Töws, Thomas Seidl:
Mining Sequential Patterns of Event Streams in a Smart Home Application. LWA 2015: 159-170
Coauthor Index
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