Artificial Intelligence (AI) is the domain of computer science that focuses on the development
of machines that operate like humans. In the field of AI, medical disease detection is an …

Classification is one of the most researched questions in machine learning and data mining.
A wide range of real problems have been stated as classification problems, for example …

The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …

Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

This chapter discusses the use of evolutionary algorithms, particularly genetic algorithms
and genetic programming, in data mining and knowledge discovery. We focus on the data …

We present an integrated algorithm for simultaneous feature selection (FS) and designing of
diverse classifiers using a steady state multiobjective genetic programming (GP), which …

In this research, a hybrid model is developed by integrating a case-based data clustering
method and a fuzzy decision tree for medical data classification. Two datasets from UCI …

The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various
signs and symptoms of a patient. However, these signs and symptoms cannot be measured …

We propose a new approach for designing classifiers for a c-class (c/spl ges/2) problem
using genetic programming (GP). The proposed approach takes an integrated view of all …

One of the major challenges in medical domain is the extraction of comprehensible
knowledge from medical diagnosis data. In this paper, a two-phase hybrid evolutionary …