An overview of the use of neural networks for data mining tasks

Authors:
Frederic Stahl;Ivan Jordanov
Affiliations:
Bournemouth University, The School of Design, Engineering & Computing, Poole, Dorset, BH12 5BB, United Kingdom;Bournemouth University, The School of Design, Engineering & Computing, Poole, Dorset, BH12 5BB, United Kingdom
Venue:
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Year:
2012

Citing 31
Cited 0

Multilayer feedforward networks are universal approximators

Neural Networks
C4.5: programs for machine learning

C4.5: programs for machine learning
Stock performance modeling using neural networks: a comparative study with regression models

Neural Networks
Radial basis function networks 1: recent developments in theory and applications

Radial basis function networks 1: recent developments in theory and applications
SPRINT: A Scalable Parallel Classifier for Data Mining

VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
NeuroRule: A Connectionist Approach to Data Mining

VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A neural network method for prediction of β-turn types in proteins using evolutionary information

Bioinformatics
Pattern Recognition and Machine Learning (Information Science and Statistics)

Pattern Recognition and Machine Learning (Information Science and Statistics)
Principles of Data Mining (Undergraduate Topics in Computer Science)

Principles of Data Mining (Undergraduate Topics in Computer Science)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)
Predicting corporate financial distress based on integration of support vector machine and logistic regression

Expert Systems with Applications: An International Journal
Credit scoring with a data mining approach based on support vector machines

Expert Systems with Applications: An International Journal
Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand

Expert Systems with Applications: An International Journal
The exploration of consumers' behavior in choosing hospital by the application of neural network

Expert Systems with Applications: An International Journal
Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks

Engineering Applications of Artificial Intelligence
Using neural network ensembles for bankruptcy prediction and credit scoring

Expert Systems with Applications: An International Journal
ProSOM

Bioinformatics
Real-time credit card fraud detection using computational intelligence

Expert Systems with Applications: An International Journal
Review: Neural networks and statistical techniques: A review of applications

Expert Systems with Applications: An International Journal
Rule extraction from trained adaptive neural networks using artificial immune systems

Expert Systems with Applications: An International Journal
Using neural networks and data mining techniques for the financial distress prediction model

Expert Systems with Applications: An International Journal
Support Vector Machines

Support Vector Machines
Surveying stock market forecasting techniques - Part II: Soft computing methods

Expert Systems with Applications: An International Journal
Prediction of building energy consumption by using artificial neural networks

Advances in Engineering Software
Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression

Decision Support Systems
Introduction to Machine Learning

Introduction to Machine Learning
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
Artificial neural networks for prediction of mycobacterial promoter sequences

Computational Biology and Chemistry
Survey of clustering algorithms

IEEE Transactions on Neural Networks
Neural Network Learning With Global Heuristic Search

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the recent years, the area of data mining has been experiencing considerable demand for technologies that extract knowledge from large and complex data sources. There has been substantial commercial interest as well as active research in the area that aim to develop new and improved approaches for extracting information, relationships, and patterns from large datasets. Artificial neural networks (NNs) are popular biologically-inspired intelligent methodologies, whose classification, prediction, and pattern recognition capabilities have been utilized successfully in many areas, including science, engineering, medicine, business, banking, telecommunication, and many other fields. This paper highlights from a data mining perspective the implementation of NN, using supervised and unsupervised learning, for pattern recognition, classification, prediction, and cluster analysis, and focuses the discussion on their usage in bioinformatics and financial data analysis tasks. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.