An Overview of the Use of Neural Networks for Data Mining Tasks.

Stahl, F. and Jordanov, I., 2012. An Overview of the Use of Neural Networks for Data Mining Tasks. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2 (3), pp. 193-208.

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DOI: 10.1002/widm.1052

Abstract

In the recent years the area of data mining has experienced a considerable demand for technologies that extract knowledge from large and complex data sources. There is a substantial commercial interest as well as research investigations in the area that aim to develop new and improved approaches for extracting information, relationships, and patterns from datasets. Artificial Neural Networks (NN) are popular biologically inspired intelligent methodologies, whose classification, prediction and pattern recognition capabilities have been utilised 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.

Item Type:Article
ISSN:1942-4795
Subjects:Generalities > Computer Science and Informatics > Artificial Intelligence
Generalities > Computer Science and Informatics
Group:Faculty of Science and Technology
ID Code:20119
Deposited By:Unnamed user with email fstahl@bournemouth.ac.uk
Deposited On:10 May 2012 14:29
Last Modified:10 Sep 2014 15:54

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