| Titel | Description | Author(s) | Related projects | ID |
|---|---|---|---|---|
| RapidMiner Distributed Data Mining Plugin | Distributed Data Mining Simulator for RapidMiner (formerly YALE) |
Wurst, Michael
|
ejskibgk | |
| YALE Clustering Plugin (now fully integrated in RapidMiner) | A plugin that provides a framework and some basic functionality to enable advanced clustering in YALE (since YALE/RapidMiner 4.0 fully integrated into the YALE/RapidMiner 4.0 core) |
Wurst, Michael
|
AWAKE
|
dxydioww |
| 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
|
dxye3grr | |
| Nemoz | Collaborative Media Organizer Based on Distributed Data and Multimedia Mining |
Flasch, Oliver
Kaspari, Andreas Thome, Phil Wurst, Michael |
ej6wd1l6 | |
| Optimization Plugin for RapidMiner | The optimization plugin for RapidMiner aims to introduce mathematical optimization based learning capability. |
Umaashankar, Venkatesh
|
SFB 876
|
ds5im9lzi8 |
| LLP | The LLP-Plugin for RapidMiner contains operators for learning from label proportions. |
Stolpe, Marco
|
SFB 876
|
d99kyucirk |
| Picana | Picana 2.0 is an algorithm for the Farthest-Pairs-Problem. |
Stolpe, Marco
|
SFB 475 subproject A4
|
du6r7aht |
| Subspace Clustering Extension | RapidMiner Extension for Subspace Clustering with frequent items |
Skirzynski, Marcin
|
dfskfizfnk | |
| LinkContent |
Sitta, Andreas
|
f5jnjtdbeo | ||
| Frequent Episodes Discoverer | A program for discovering frequent episodes in an event-sequence |
Shaabani, Nuhad
|
etcvy2xm | |
| RapidMiner Microarray Feature Selection Plugin | Operators for feature selection and classificationof high-dimensional (microarray-) data |
Schowe, Benjamin
Sivakumar, Viswanath |
SFB 876
|
gepnx488 |
| MiningMart system |
Euler, Timm
Scholz, Martin |
MiningMart
|
ea2hbtat | |
| 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 |
| Uschificator | Scaling of classifier membership values |
Rüping, Stefan
|
SFB 475 subproject A4
|
du6rosnc |
| mySVM/db | mySVM/db is a Java re-implementation mySVM. It is designed to run directly inside a database system. |
Rüping, Stefan
|
SFB 475 subproject A4
|
du6qylgj |
| mySVM | mySVM is an implementation of the Support Vector Machine introduced by V. Vapni. It is based on the optimization algorithm of SVM-light. mySVM can be used for pattern recognition, regression and distribution estimation. |
Rüping, Stefan
|
SFB 475 subproject A4
|
du6qluxv |
| myKLR | A software for kernel logistic regression |
Rüping, Stefan
|
SFB 475 subproject A4
|
du6qvvjd |
| RapidMiner Dependency Parsing | Demonstrates structured prediction within RapidMiner |
Pfahler, Lukas
|
emfzvmoyrk | |
| Structural Support Vector Machine | Implements the SVMstruct in Java |
Pfahler, Lukas
|
emko35bv9c | |
| RDT/dm | RDT/dm is a advancement of the Rule Discovery Tool, which was implemented in MOBAL before. |
Münstermann, Dirk
|
du6rco5w | |
| RapidMiner Value Series Plugin | (Automatic) Feature extraction from value series with RapidMiner (formerly YALE) |
Mierswa, Ingo
|
SFB 475 subproject A4
|
eju51teb |
| RapidMiner (YALE) | RapidMiner (formerly YALE) is an integrated environment for machine learning, data mining, and knowledge discovery experiments and applications |
Fischer, Simon
Klinkenberg, Ralf Mierswa, Ingo |
SFB 475 subproject A4
SFB 531 Computational Intelligence |
du5od02i |
| rsig: Robust Signature Selection for Survival Outcomes |
Lee, Sangkyun
|
SFB 876
|
e278n54g74 | |
| Signal Reconstruction on GPUs |
Lee, Sangkyun
|
d8bvjwv56o | ||
| 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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