ELKI
Data mining framework / From Wikipedia, the free encyclopedia
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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.
This article contains content that is written like an advertisement. (January 2019) |
Quick Facts Developer(s), Stable release ...
Developer(s) | Technical University of Dortmund; initially Ludwig Maximilian University of Munich |
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Stable release | 0.8.0
/ 5 October 2022; 18 months ago (2022-10-05) |
Repository | |
Written in | Java |
Operating system | Microsoft Windows, Linux, Mac OS |
Platform | Java platform |
Type | Data mining |
License | AGPL (since version 0.4.0) |
Website | elki-project |
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