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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
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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ADT Hueppe, Christian
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C-Salt Hess, Sibylle
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Critical Difference Diagrams Bunse, Mirko
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Deconvolution algorithms for Cherenkov astronomy Bunse, Mirko
SFB 876
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Dynamic Sieve-Streaming (ECML 2017) Buschjäger, Sebastian
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ECML-2017: Scalable Regression with Gaussian Summary Trees (under review) f1zx51f6kg
Frequent Episodes DiscovererA program for discovering frequent episodes in an event-sequence Shaabani, Nuhad
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HHHPluginHierarchical Heavy Hitter plugin for RapidMiner 5. Fricke, Peter
Stolpe, Marco
SFB 876
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Information LayerCOMRIS Information Layer Haustein, Stefan
COMRIS
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Interactive Visualizer Kilian, Phillip
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JWall - A Framework for Adaptive Web-Security Bockermann, Christian
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Kernmengenbasiertes Clustering auf Streams efkpcwrzeo
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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LinkContent Sitta, Andreas
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LLPThe LLP-Plugin for RapidMiner contains operators for learning from label proportions. Stolpe, Marco
SFB 876
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Masterthesis: Online Gauß-Prozesse zur Regression auf FPGAs Buschjäger, Sebastian
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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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MiningMart system Euler, Timm
Scholz, Martin
MiningMart
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myKLRA software for kernel logistic regression Rüping, Stefan
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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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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NemozCollaborative Media Organizer Based on Distributed Data and Multimedia Mining Flasch, Oliver
Kaspari, Andreas
Thome, Phil
Wurst, Michael
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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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PicanaPicana 2.0 is an algorithm for the Farthest-Pairs-Problem. Stolpe, Marco
SFB 475 subproject A4
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