Mining association rules in Internet survey data.
This thesis aims to explore the applicability of data mining to the discovery of unexpected patterns hidden in questionnaire data from a survey conducted in 2001 about Internet usage in Singapore and its social impact. In particular, the thesis aims to discover interesting associations among the va...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Theses and Dissertations |
| Published: |
2008
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/2021 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Summary: | This thesis aims to explore the applicability of data mining to the discovery of unexpected patterns hidden in questionnaire data from a survey conducted in 2001
about Internet usage in Singapore and its social impact. In particular, the thesis aims to discover interesting associations among the various items in the data using the Apriori algorithm. |
|---|