Loading...
Please wait, while we are loading the content...
Similar Documents
Improving the interestingness of web usage association rules containing common web site menu items
| Content Provider | Semantic Scholar |
|---|---|
| Author | Dimitrijevic, Maja Subić, Nataša |
| Copyright Year | 2014 |
| Abstract | The immense volume of web usage data that exists on web servers can be mined to generate association rules that contain the information about website visitor interests, which can then be utilized for enhancing the website effectiveness, or increasing the profit in e-commerce applications. One of the problems in web usage association rule mining is the generation of too many rules with extremely high statistical interestingness measures, which are not necessarily interesting to the domain expert. In this paper, we propose a modified version of added value as an interestingness measure for particular groups of association rules consisting of web pages that occur as sub-items of the web site common menus. Our real life data experiments show that the modified added value outperforms added value, resembling the domain expert defined interestingness more closely. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.iiakm.org/ojakm/articles/2014/volume2_1/OJAKM_Volume2_1pp82-92.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
