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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ADT | |
Hueppe, Christian
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du6pki44
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Word Vector Tool and RapidMiner Word Vector Tool Plugin | A 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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dxye3grr
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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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|
d7alax6hog
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Nemoz | Collaborative Media Organizer Based on Distributed Data and Multimedia Mining |
Flasch, Oliver
Kaspari, Andreas
Thome, Phil
Wurst, Michael
|
|
ej6wd1l6
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Signal Reconstruction on GPUs | |
Lee, Sangkyun
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d8bvjwv56o
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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
|
streams framework | |
Bockermann, Christian
|
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dihi5zin0g
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RapidMiner Development Extension | An extension for RapidMiner and Eclipse to rapidly develop extensions for RM |
Czogalla, Jan
|
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dw0bnk70u8
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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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RapidMiner HDF5 Extension | Contains a reader and a writer for HDF5 files and associated sample processes. |
Czogalla, Jan
|
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e4h306ozk0
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RapidMiner Distributed Data Mining Plugin | Distributed Data Mining Simulator for RapidMiner (formerly YALE) |
Wurst, Michael
|
|
ejskibgk
|
Rapidminer Phido-Adapter | Mit Hilfe dieses Frameworks lassen sich RapidMiner-Prozesse auf ein Rechencluster (z.B. PhiDo) verteilen. |
Helf, Marius
|
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e9gminzxmo
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LinkContent | |
Sitta, Andreas
|
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f5jnjtdbeo
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Subspace Clustering Extension | RapidMiner Extension for Subspace Clustering with frequent items |
Skirzynski, Marcin
|
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dfskfizfnk
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Dynamic Sieve-Streaming (ECML 2017) | |
Buschjäger, Sebastian
|
|
f52jvsecqo
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RDT/dm | RDT/dm is a advancement of the Rule Discovery Tool, which was implemented in MOBAL before. |
Münstermann, Dirk
|
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du6rco5w
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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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dttc2lvzsw
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RapidMiner Dependency Parsing | Demonstrates structured prediction within RapidMiner |
Pfahler, Lukas
|
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emfzvmoyrk
|
Interactive Visualizer | |
Kilian, Phillip
|
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f4the5fhmo
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Rapidminer RecallChooser, extended Ada2Boost | |
Helf, Marius
|
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e9gn1ltr7k
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Masterthesis: Online Gauß-Prozesse zur Regression auf FPGAs | |
Buschjäger, Sebastian
|
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eojq6wdips
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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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Kernmengenbasiertes Clustering auf Streams | | |
|
efkpcwrzeo
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