Neural business control system

Authors:
M. Lourdes Borrajo;Juan M. Corchado;E. S. Corchado;M. A. Pellicer
Affiliations:
Dept. Informática, University of Vigo, Esc. Superior de Ingeniería Informática, Edificio Politécnico, Ourense, Spain;Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain;Dept. de Ingeniería Civil, University of Burgos, Esc. Politécnica Superior, Burgos, Spain;Dept. de Ingeniería Civil, University of Burgos, Esc. Politécnica Superior, Burgos, Spain
Venue:
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Year:
2007

Citing 12
Cited 0

Original Contribution: Least mean square error reconstruction principle for self-organizing neural-nets

Neural Networks
Representation and separation of signals using nonlinear PCA type learning

Neural Networks
Case-based reasoning

Case-based reasoning
Stochastic approximation

A prelude to neural networks
Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
Applying case-based reasoning: techniques for enterprise systems

Applying case-based reasoning: techniques for enterprise systems
Hybrid Intelligent Systems

Hybrid Intelligent Systems
A New Neural Implementation of Exploratory Projection Pursuit

IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Optimal Projections of High Dimensional Data

ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
FSfRT: Forecasting System for Red Tides

Applied Intelligence
Complexity Pursuit: Separating Interesting Components from Time Series

Neural Computation
Neuro-symbolic system for business internal control

ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications

Quantified Score

Hi-index	0.00

Visualization

Abstract

The firms have need of a control mechanism in order to analyse whether they are achieving their goals. A tool that automates the business control process has been developed based on a case-based reasoning system. The objective of the system is to facilitate the process of internal auditing. The system analyses the data that characterises each one of the activities carried out by the firm, then determines the state of each activity and calculates the associated risk. This system uses a different problem solving method in each of the steps of the reasoning cycle. A Maximum Likelihood Hebbian Learning-based method that automates the organization of cases and the retrieval stage of case-based reasoning systems is presented in this paper. The proposed methodology has been derived as an extension of the Principal Component Analysis, and groups similar cases, identifying clusters automatically in a data set in an unsupervised mode. The system has been tested in 10 small and medium companies in the textile sector, located in the northwest of Spain and the results obtained have been very encouraging.