KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

Keel A Data Mining Tool: Analysis With Genetic

This work is related to the KEEL (Knowledge Extraction based on Evolutionary Learning) tool, an open source software that supports data management and provides a platform for the analysis of evolutionary learning for Data Mining problems of different kinds including as regression, classification, unsupervised learning. It includes a big collection of evolutionary learning algorithms based on di...

Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool

This work is related to the KEEL (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an educational section. The KEEL software tool is devoted to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on. These features implies an ad...

KEEL: Multi-Stage Analysis in Data Mining

KEEL: a software tool to assess evolutionary algorithms for data mining problems

This paper introduces a software tool named KEEL, which is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based on different approaches: Pittsburgh, Michigan and IRL, as well as the integration of evolutionary learning techniques with dif...

A Hybrid Fuzzy MCDM Approach to Determine an Optimal Block Size in Open-Pit Mine Modeling: a Case Study

The computer-based 3D modeling of ore bodies is one of the most important steps in the resource estimation, grade determination, and production scheduling of open-pit mines. In the modeling phase, the volume of the orebody model is required to be filled by the blocks and sub-blocks. The determination of Block Size (BS) is important due to the dependence of the geostatistical issues and calculat...