Learning Classifier Systems in Data Mining

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

A Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

Learning Classifier Systems in Data Mining: An Introduction

A Grid Data Mining Architecture for Learning Classifier Systems

Recently, there is a growing interest among the researchers and software developers in exploring Learning Classifier System (LCS) implemented in parallel and distributed grid structure for data mining, due to its practical applications. The paper highlights the some aspects of the LCS and studying the competitive data mining model with homogeneous data. In order to establish more efficient dist...

Distributed Learning Classifier Systems

Genetics-based machine learning methods also called learning classifier systems are evolutionary computation based data mining techniques. The advantages of these techniques are: they are rule-based models providing human-readable learning patterns; they are incremental learners allowing the system to adapt quickly in dynamic environments; and some of them have linear 0(n) learning complexity i...