Combining Decision Trees and Neural Networks for Drug Discovery

A Study on Rule Extraction from Neural Networks Applied to Medical Databases

The inherent black-box nature of neural networks is an important drawback with respect to the problem of knowledge discovery from databases. In this work our aim is to extract rules from multi-layer perceptrons. This is a starting point to explain the basis of neural network solutions for knowledge discovery to experts of domain applications. Our approach consists in characterizing discriminant...

Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees

Knowledge Discovery using Artificial Neural Networks for a Conservation Biology Domain

We present an artificial intelligence method for the development of decision support systems for environmental management and demonstrate its strengths using an example from the domain of biodiversity and conservation biology. Renosterveld vegetation is unique to South Africa; it is under threat of extinction as a result of rapidly growing agricultural activities. We use artificial neural netwo...

Prediction and Diagnosis of Diabetes Mellitus using a Water Wave Optimization Algorithm

Data mining is an appropriate way to discover information and hidden patterns in large amounts of data, where the hidden patterns cannot be easily discovered in normal ways. One of the most interesting applications of data mining is the discovery of diseases and disease patterns through investigating patients' records. Early diagnosis of diabetes can reduce the effects of this devastating disea...

Diagnosis of brain tumor using image processing and determination of its type with RVM neural networks

Typically, the diagnosis of a tumor is done through surgical sampling, which is more precise with existing methods. The difference is that this is an aggressive, time consuming and expensive way. In the statistical method, due to the complexity of the brain tissues and the similarity between the cancerous cells and the natural tissues, even a radiologist or an expert physician may also be in er...