SLEUTH is a computational simulation model that uses adaptive cellular automata to
simulate the way cities grow and change their surrounding land uses. It has long been …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

The objective of this project is the development of plant supervision techniques based on
self-organizing map (SOM) for the implementation in a wastewater treatment plant. SOM is …

The topic of this thesis is fraud detection in mobile communications networks by means of
user profiling and classification techniques. The goal is to first identify relevant user groups …

In this paper, we illustrate the use of the self-organizing map technique for financial
performance analysis and benchmarking. We build a database of financial ratios indicating …

The need for better techniques, tools and practices to analyse ecological and economic
systems within an integrated framework has never been so great. Many institutions have …

This work aims to (1) identify the most conductive conditions for the generation of
greenhouses gases (GHGs) in groundwater (eg, hydrogeological contexts and geochemical …

This paper proposes an approach for modeling employee turnover in a call center using the
versatility of supervised self-organizing maps. Two main distinct problems exist for the …

Environmental context Dissolved organic matter (DOM) is a highly diverse mixture of
interacting compounds, which plays a key role in environmental processes in aquatic …

Hydrological model evaluation and identification essentially involves extracting and
processing information from model time series. However, the type of information extracted by …