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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
Kernmengenbasiertes Clustering auf Streams efkpcwrzeo
Frequent Episodes DiscovererA program for discovering frequent episodes in an event-sequence Shaabani, Nuhad
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ECML-2017: Scalable Regression with Gaussian Summary Trees (under review) f1zx51f6kg
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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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
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kXMLkXML 2 is a small XML pull parser, specially designed for constrained environments such as Applets, Personal Java or MIDP devices. Haustein, Stefan
COMRIS
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Information LayerCOMRIS Information Layer Haustein, Stefan
COMRIS
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MiningMart system Euler, Timm
Scholz, Martin
MiningMart
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SVM-lightAn implementation of Support Vector Machines in C Joachims, Thorsten
SFB 475 subproject A4
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mySVMmySVM 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
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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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PicanaPicana 2.0 is an algorithm for the Farthest-Pairs-Problem. Stolpe, Marco
SFB 475 subproject A4
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UschificatorScaling of classifier membership values Rüping, Stefan
SFB 475 subproject A4
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mySVM/dbmySVM/db is a Java re-implementation mySVM. It is designed to run directly inside a database system. Rüping, Stefan
SFB 475 subproject A4
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myKLRA software for kernel logistic regression Rüping, Stefan
SFB 475 subproject A4
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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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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
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Optimization Plugin for RapidMinerThe optimization plugin for RapidMiner aims to introduce mathematical optimization based learning capability. Umaashankar, Venkatesh
SFB 876
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rsig: Robust Signature Selection for Survival Outcomes Lee, Sangkyun
SFB 876
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Deconvolution algorithms for Cherenkov astronomy Bunse, Mirko
SFB 876
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HHHPluginHierarchical Heavy Hitter plugin for RapidMiner 5. Fricke, Peter
Stolpe, Marco
SFB 876
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LLPThe LLP-Plugin for RapidMiner contains operators for learning from label proportions. Stolpe, Marco
SFB 876
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PRIMP and PANPALBoolean matrix factorization with automatic rank determination. Hess, Sibylle
Piatkowski, Nico
SFB 876
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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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