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Details for article 2 of 7 found articles
| Title: |
A data mining based method for web site maintenance |
| Author: |
Burn-Thornton, K.E. Carrington, M. Burman, T. |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 10 (2006) nr. 6 pages 555-581 |
| Year: |
2006-11-27 |
| Contents: |
In this paper we describe a method, based upon Data Mining techniques, which can be used to improve the maintainability of web pages and web sites. We show that by regarding HTML code as a set of CSS files and accompanying information, or as an XSL file with an accompanying XML file, it is possible to improve the maintainability of web sites/pages - irrespective of the complexity of the pages concerned. We also describe how, as a by-product of this work, it is possible to produce an 'in house' a set of style sheets (CSS or XSL) which can be used as a basis for web page/site design thoughout a company. The implications of the use of the style sheets for web page/site maintenance, or design, are discussed as well as the potential for the use of our tool in enabling SMEs and/or individuals to standardize their web site(s) irrespective of their knowledge of manipulation of web site code. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 7 found articles
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