Several progams have been and are developed in parallel to our
research activity. Most of them are actively maintained by their
author.
Titel | Description | Author(s) | Related projects | ID |
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Critical Difference Diagrams | |
Bunse, Mirko
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gup2xkly4g
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RapidMiner Microarray Feature Selection Plugin | Operators for feature selection and classificationof high-dimensional (microarray-) data |
Schowe, Benjamin
Sivakumar, Viswanath
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SFB 876
|
gepnx488
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Submodular Streaming Maximization | A C++ package for streaming submodular function maximization with Python bindings |
Buschjäger, Sebastian
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gabf7ubegw
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PyTorch Ensembles (Pysembles) | Implementation of ensemble algorithms in PyTorch |
Buschjäger, Sebastian
Pfahler, Lukas
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gabf3xgykg
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A Drift-based Dynamic Ensemble Members Selection using Clustering For Time Series Forecasting | This 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
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SFB 876
|
g8c6g7ec5c
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RapidMiner Information Extraction Plugin | The Information Extraction Plugin for RapidMiner allows the usage of information extraction methods in documents. |
Jungermann, Felix
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fqhavm6c
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HHHPlugin | Hierarchical Heavy Hitter plugin for RapidMiner 5. |
Fricke, Peter
Stolpe, Marco
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SFB 876
|
fn8vpl5o
|
Deconvolution algorithms for Cherenkov astronomy | |
Bunse, Mirko
|
SFB 876
|
fhm40mob28
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JWall - A Framework for Adaptive Web-Security | |
Bockermann, Christian
|
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fdnbo9og
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C-Salt | |
Hess, Sibylle
|
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f6sknbwcu8
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LinkContent | |
Sitta, Andreas
|
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f5jnjtdbeo
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Dynamic Sieve-Streaming (ECML 2017) | |
Buschjäger, Sebastian
|
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f52jvsecqo
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Interactive Visualizer | |
Kilian, Phillip
|
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f4the5fhmo
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PRIMP and PANPAL | Boolean matrix factorization with automatic rank determination. |
Hess, Sibylle
Piatkowski, Nico
|
SFB 876
|
f2tasf4iyo
|
RapidMiner Conditional Random Fields Plugin | Extension of RapidMiner (formerly YALE) for Conditional Random Fields (e.g. for named entity recognition from web pages) |
Jungermann, Felix
|
|
f2emnc2s
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ECML-2017: Scalable Regression with Gaussian Summary Trees (under review) | | |
|
f1zx51f6kg
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Frequent Episodes Discoverer | A program for discovering frequent episodes in an event-sequence |
Shaabani, Nuhad
|
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etcvy2xm
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Masterthesis: Online Gauß-Prozesse zur Regression auf FPGAs | |
Buschjäger, Sebastian
|
|
eojq6wdips
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Structural Support Vector Machine | Implements the SVMstruct in Java |
Pfahler, Lukas
|
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emko35bv9c
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RapidMiner Dependency Parsing | Demonstrates structured prediction within RapidMiner |
Pfahler, Lukas
|
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emfzvmoyrk
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RapidMiner Value Series Plugin | (Automatic) Feature extraction from value series with RapidMiner (formerly YALE) |
Mierswa, Ingo
|
SFB 475 subproject A4
|
eju51teb
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RapidMiner Distributed Data Mining Plugin | Distributed Data Mining Simulator for RapidMiner (formerly YALE) |
Wurst, Michael
|
|
ejskibgk
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Nemoz | Collaborative Media Organizer Based on Distributed Data and Multimedia Mining |
Flasch, Oliver
Kaspari, Andreas
Thome, Phil
Wurst, Michael
|
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ej6wd1l6
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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
|
eit184kc
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Kernmengenbasiertes Clustering auf Streams | | |
|
efkpcwrzeo
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