LISp-Miner is an academic project for support research and teaching of knowledge discovery in databases. It is suitable namely for students, pilot and mid-size KDD projects. The core of the system are several KDD procedures capable to give answers to various both standard and non-standard analytical questions. There are also modules to solve some additional tasks.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Hájek, Petr; Holeňa, Martin; Rauch, Jan: The GUHA method and its meaning for data mining (2010)
- Holeňa, Martin: Measures of ruleset quality for general rules extraction methods (2009)
- Holeňa, Martin: Measures of ruleset quality capable to represent uncertain validity (2007)
Further publications can be found at: https://lispminer.vse.cz/references.html