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.
This is the latest version of this eprint.
Full text available as:
|PDF - Submitted Version|
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.
|Subjects:||Generalities > Computer Science and Informatics > Artificial Intelligence|
Generalities > Computer Science and Informatics
|Group:||Faculty of Science and Technology|
|Deposited By:||Unnamed user with email firstname.lastname@example.org|
|Deposited On:||10 May 2012 14:29|
|Last Modified:||10 Sep 2014 15:54|
Available Versions of this Item
- An Overview of the Use of Neural Networks for Data Mining Tasks. (deposited 24 Apr 2012 16:01)
- An Overview of the Use of Neural Networks for Data Mining Tasks. (deposited 10 May 2012 14:29) [Currently Displayed]
Document DownloadsMore statistics for this item...
|Repository Staff Only -|
|BU Staff Only -|
|Help Guide -||Editing Your Items in BURO|