ELKI

Environment for DeveLoping KDD-Applications Supported by Index-Structures
Developer(s)Technical University of Dortmund; initially Ludwig Maximilian University of Munich
Stable release
0.8.0 / 5 October 2022; 2 years ago (2022-10-05)
Repository
Written inJava
Operating systemMicrosoft Windows, Linux, Mac OS
PlatformJava platform
TypeData mining
LicenseAGPL (since version 0.4.0)
Websiteelki-project.github.io

ELKI (Environment for Developing KDD-Applications Supported by Index-Structures) is a data mining (KDD, knowledge discovery in databases) software framework developed for use in research and teaching. It was originally created by the database systems research unit at the Ludwig Maximilian University of Munich, Germany, led by Professor Hans-Peter Kriegel. The project has continued at the Technical University of Dortmund, Germany. It aims at allowing the development and evaluation of advanced data mining algorithms and their interaction with database index structures.