Mining association rules in Internet survey data.
Tong, Khoon Heng.
Date of Issue2004
Wee Kim Wee School of Communication and Information
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.
DRNTU::Library and information science::Libraries::Information retrieval and analysis
Nanyang Technological University