A pool-based pattern generation algorithm for logical analysis of data with automatic fine-tuning

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A pool-based pattern generation algorithm for logical analysis of data with automatic fine-tuning

In this paper, we address the binary classification problem, in which one is given a set of observations, characterized by a number of (binary and non-binary) attributes and wants to determine which class each observation belongs to. The proposed classification algorithm is based on the Logical Anal...

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Bibliographic Details
Main Authors:	Caserta, M., Reiners, Torsten
Format:	Journal Article
Published:	Elsevier BV * North-Holland 2015
Subjects:	Data mining bRKGA Machine learning Fine-tuning Logical Analysis of Data
Online Access:	http://hdl.handle.net/20.500.11937/11799

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