Add to ORKGWe present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database or training set. The core of the algorithm is a EA with real-coded and Pittsburgh approach. Each individual is composed by a no fixed classification rules set what split in regions the search space. The fitness of each classification is obtained by means of the exploration of these regions. The result of the tool is the best classification obtained in the evolutionary process
Classification is the supervised learning technique of data mining which is used to extract hidden u...
To select an adequate coding is one of the main problems in applications based on Evolutionary Algor...
AbstractMany variants of evolutionary algorithms have been designed and applied. The experimental kn...
Evolutionary Algorithms (EAs) are populationbased, stochastic search algorithms that mimic natural e...
This paper describes an approach based on evolutionary algorithms, hierarchical decision rules (HID...
Data mining is an important process, with applications found in many business, science and industria...
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizabl...
Some of the most influential factors in the quality of the solutions found by an evolutionary algor...
In this paper, we offer a new method to induce interesting knowledge from the relevant sets of data ...
The process of automatically extracting novel, useful and ultimately comprehensible information from...
Abstract. Data mining means to summarize information from large amounts of raw data. It is one of th...
Abstract. Decision rules are a natural form of representing knowl-edge. Their extraction from databa...
Evolutionary algorithm (EA) is an umbrella term used to describe population-based stochastic direct ...
The increasing amount of information available is encouraging the search for efficient techniques t...
Abstract: This paper describes RAGA, a data mining system that combines evolutionary and symbolic ma...
Classification is the supervised learning technique of data mining which is used to extract hidden u...
To select an adequate coding is one of the main problems in applications based on Evolutionary Algor...
AbstractMany variants of evolutionary algorithms have been designed and applied. The experimental kn...
Evolutionary Algorithms (EAs) are populationbased, stochastic search algorithms that mimic natural e...
This paper describes an approach based on evolutionary algorithms, hierarchical decision rules (HID...
Data mining is an important process, with applications found in many business, science and industria...
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizabl...
Some of the most influential factors in the quality of the solutions found by an evolutionary algor...
In this paper, we offer a new method to induce interesting knowledge from the relevant sets of data ...
The process of automatically extracting novel, useful and ultimately comprehensible information from...
Abstract. Data mining means to summarize information from large amounts of raw data. It is one of th...
Abstract. Decision rules are a natural form of representing knowl-edge. Their extraction from databa...
Evolutionary algorithm (EA) is an umbrella term used to describe population-based stochastic direct ...
The increasing amount of information available is encouraging the search for efficient techniques t...
Abstract: This paper describes RAGA, a data mining system that combines evolutionary and symbolic ma...
Classification is the supervised learning technique of data mining which is used to extract hidden u...
To select an adequate coding is one of the main problems in applications based on Evolutionary Algor...
AbstractMany variants of evolutionary algorithms have been designed and applied. The experimental kn...