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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
RapidMiner Microarray Feature Selection PluginOperators for feature selection and classificationof high-dimensional (microarray-) data Schowe, Benjamin
Sivakumar, Viswanath
SFB 876
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Submodular Streaming MaximizationA C++ package for streaming submodular function maximization with Python bindings Buschjäger, Sebastian
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PyTorch Ensembles (Pysembles)Implementation of ensemble algorithms in PyTorch Buschjäger, Sebastian
Pfahler, Lukas
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A Drift-based Dynamic Ensemble Members Selection using Clustering For Time Series ForecastingThis package enables a dynamic selection of heteregeneous ensemble base models through a performance drift detection mechanism and ensures ensemble diversity through a second stage selection using clustering that is computed after each drift detection. Predictions of final selected models are combined single prediction using sliding-window averages or stacking. Saadallah, Amal
SFB 876
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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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HHHPluginHierarchical Heavy Hitter plugin for RapidMiner 5. Fricke, Peter
Stolpe, Marco
SFB 876
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Deconvolution algorithms for Cherenkov astronomy Bunse, Mirko
SFB 876
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JWall - A Framework for Adaptive Web-Security Bockermann, Christian
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C-Salt Hess, Sibylle
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LinkContent Sitta, Andreas
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Dynamic Sieve-Streaming (ECML 2017) Buschjäger, Sebastian
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Interactive Visualizer Kilian, Phillip
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PRIMP and PANPALBoolean matrix factorization with automatic rank determination. Hess, Sibylle
Piatkowski, Nico
SFB 876
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RapidMiner Conditional Random Fields PluginExtension of RapidMiner (formerly YALE) for Conditional Random Fields (e.g. for named entity recognition from web pages) Jungermann, Felix
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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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Masterthesis: Online Gauß-Prozesse zur Regression auf FPGAs Buschjäger, Sebastian
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Structural Support Vector MachineImplements the SVMstruct in Java Pfahler, Lukas
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RapidMiner Dependency ParsingDemonstrates structured prediction within RapidMiner Pfahler, Lukas
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RapidMiner Value Series Plugin(Automatic) Feature extraction from value series with RapidMiner (formerly YALE) Mierswa, Ingo
SFB 475 subproject A4
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RapidMiner Distributed Data Mining PluginDistributed Data Mining Simulator for RapidMiner (formerly YALE) Wurst, Michael
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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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RapidMiner Data Stream Plugin (formerly: YALE Concept Drift Plugin)Extension of RapidMiner (formerly YALE) for machine learning and data mining from time-varying data streams and for tracking drifting concepts Klinkenberg, Ralf
SFB 475 subproject A4
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Kernmengenbasiertes Clustering auf Streams efkpcwrzeo
MiningMart system Euler, Timm
Scholz, Martin
MiningMart
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