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

Frederic Stahl, Ivan Nikolov Jordanov

Research output: Contribution to journalArticlepeer-review


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 (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.
Original languageEnglish
Pages (from-to)193-208
Number of pages16
JournalWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Issue number3
Publication statusPublished - 2012


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