A new methodology of extraction, optimization, and application of sets of logical rules is
described. Neural networks are used for initial rule extraction, local or global minimization …

Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

In many applications, black-box prediction is not satisfactory, and understanding the data is
of critical importance. Typically, approaches useful for understanding of data involve logical …

The “self-organizing map” method, due to Kohonen, is a well-known neural network method.
It is closely related to cluster analysis (partitioning) and other methods of data analysis. In …

With the advances in computer technology, the amount of data that is obtained from various
sources and stored in electronic media is growing at exponential rates. Data mining is a …

In this paper we address the problem of multivariate outlier detection using the
(unsupervised) self-organizing map (SOM) algorithm introduced by Kohonen. We examine a …

An interpretation phase is proposed, to complement usage of the Kohonen self-organizing
feature map (SOFM) method. This segments the SOFM output, using an agglomerative …

It has been argued that a single two-dimensional visualization plot may not be sufficient to
capture all of the interesting aspects of complex data sets and, therefore, a hierarchical …

An accurate computer-assisted method to perform segmentation of brain tumor on apparent
diffusion coefficient (ADC) images and evaluate its grade (malignancy state) has been …

This paper presents a method for the discovery of temporal patterns in multivariate time
series and their conversion into a linguistic knowledge representation applied to sleep …