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Software developed at LS8

Several progams have been and are developed in parallel to our research activity. Most of them are actively maintained by their author.
TitelDescriptionAuthor(s)Related projectsID
Critical Difference Diagrams Bunse, Mirko
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ADT Hueppe, Christian
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Word Vector Tool and RapidMiner Word Vector Tool PluginA simple utility to create representations of text-based documents in the vector space model (stand-alone library and plugin for RapidMiner (formerly YALE)) Wurst, Michael
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TaCl-Extension (RM5)RapidMiner 5 Extension for the algorithm described in 'Multi-objective Frequent Termset Clustering' Kaspari, Andreas
Morik, Katharina
Skirzynski, Marcin
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NemozCollaborative Media Organizer Based on Distributed Data and Multimedia Mining Flasch, Oliver
Kaspari, Andreas
Thome, Phil
Wurst, Michael
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Signal Reconstruction on GPUs Lee, Sangkyun
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RapidMiner Information Extraction PluginThe Information Extraction Plugin for RapidMiner allows the usage of information extraction methods in documents. Jungermann, Felix
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streams framework Bockermann, Christian
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RapidMiner Development ExtensionAn extension for RapidMiner and Eclipse to rapidly develop extensions for RM Czogalla, Jan
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PyTorch Ensembles (Pysembles)Implementation of ensemble algorithms in PyTorch Buschjäger, Sebastian
Pfahler, Lukas
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RapidMiner HDF5 ExtensionContains a reader and a writer for HDF5 files and associated sample processes. Czogalla, Jan
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RapidMiner Distributed Data Mining PluginDistributed Data Mining Simulator for RapidMiner (formerly YALE) Wurst, Michael
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Rapidminer Phido-AdapterMit Hilfe dieses Frameworks lassen sich RapidMiner-Prozesse auf ein Rechencluster (z.B. PhiDo) verteilen. Helf, Marius
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LinkContent Sitta, Andreas
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Subspace Clustering ExtensionRapidMiner Extension for Subspace Clustering with frequent items Skirzynski, Marcin
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Dynamic Sieve-Streaming (ECML 2017) Buschjäger, Sebastian
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RDT/dmRDT/dm is a advancement of the Rule Discovery Tool, which was implemented in MOBAL before. Münstermann, Dirk
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MDL-Extension (RM5)RapidMiner 5 Extension for algorithms based on the MDL (Minimum Description Length) principle Hess, Sibylle
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RapidMiner Dependency ParsingDemonstrates structured prediction within RapidMiner Pfahler, Lukas
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Interactive Visualizer Kilian, Phillip
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Rapidminer RecallChooser, extended Ada2Boost Helf, Marius
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Masterthesis: Online Gauß-Prozesse zur Regression auf FPGAs Buschjäger, Sebastian
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ECML-2017: Scalable Regression with Gaussian Summary Trees (under review) f1zx51f6kg
Frequent Episodes DiscovererA program for discovering frequent episodes in an event-sequence Shaabani, Nuhad
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Kernmengenbasiertes Clustering auf Streams efkpcwrzeo
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