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 |
|---|
| Rapidminer RecallChooser, extended Ada2Boost | |
Helf, Marius
|
|
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| MiningMart system | |
Euler, Timm
Scholz, Martin
|
MiningMart
|
ea2hbtat
|
| Kernmengenbasiertes Clustering auf Streams | | |
|
efkpcwrzeo
|
| 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
|
| Nemoz | Collaborative Media Organizer Based on Distributed Data and Multimedia Mining |
Flasch, Oliver
Kaspari, Andreas
Thome, Phil
Wurst, Michael
|
|
ej6wd1l6
|
| RapidMiner Distributed Data Mining Plugin | Distributed Data Mining Simulator for RapidMiner (formerly YALE) |
Wurst, Michael
|
|
ejskibgk
|
| 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 Dependency Parsing | Demonstrates structured prediction within RapidMiner |
Pfahler, Lukas
|
|
emfzvmoyrk
|
| Structural Support Vector Machine | Implements the SVMstruct in Java |
Pfahler, Lukas
|
|
emko35bv9c
|
| Masterthesis: Online Gauß-Prozesse zur Regression auf FPGAs | |
Buschjäger, Sebastian
|
|
eojq6wdips
|
| Frequent Episodes Discoverer | A program for discovering frequent episodes in an event-sequence |
Shaabani, Nuhad
|
|
etcvy2xm
|
| ECML-2017: Scalable Regression with Gaussian Summary Trees (under review) | | |
|
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|
| 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
|
| PRIMP and PANPAL | Boolean matrix factorization with automatic rank determination. |
Hess, Sibylle
Piatkowski, Nico
|
SFB 876
|
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|
| Interactive Visualizer | |
Kilian, Phillip
|
|
f4the5fhmo
|
| Dynamic Sieve-Streaming (ECML 2017) | |
Buschjäger, Sebastian
|
|
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|
| LinkContent | |
Sitta, Andreas
|
|
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|
| C-Salt | |
Hess, Sibylle
|
|
f6sknbwcu8
|
| JWall - A Framework for Adaptive Web-Security | |
Bockermann, Christian
|
|
fdnbo9og
|
| Deconvolution algorithms for Cherenkov astronomy | |
Bunse, Mirko
|
SFB 876
|
fhm40mob28
|
| HHHPlugin | Hierarchical Heavy Hitter plugin for RapidMiner 5. |
Fricke, Peter
Stolpe, Marco
|
SFB 876
|
fn8vpl5o
|
| RapidMiner Information Extraction Plugin | The Information Extraction Plugin for RapidMiner allows the usage of information extraction methods in documents. |
Jungermann, Felix
|
|
fqhavm6c
|
| 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
|
SFB 876
|
g8c6g7ec5c
|
| PyTorch Ensembles (Pysembles) | Implementation of ensemble algorithms in PyTorch |
Buschjäger, Sebastian
Pfahler, Lukas
|
|
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|
| Submodular Streaming Maximization | A C++ package for streaming submodular function maximization with Python bindings |
Buschjäger, Sebastian
|
|
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| > Show next 25 entries (50 ... ) |
