Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/35726
Title: Discovering association rules from structural evolution of tree structured web data
Authors: Chen, Ling
Keywords: DRNTU::Engineering::Computer science and engineering::Data
Issue Date: 2007
Source: Chen, L. (2007). Discovering association rules from structural evolution of tree structured web data. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Today, the Web has been one of the most mammoth information storage. Its rapid evolution not only makes it more and more important for users to access information, but also poses challenging problems, such as maintaining search engines and updating web caching etc, in the Web community. In our research, we exploit the evolution of the Web further to discover novel knowledge from the Web history. We mine association rules from changes to different types of tree structured Web data and study how the extracted knowledge can be applied in corresponding applications.
Description: 223 p.
URI: https://hdl.handle.net/10356/35726
DOI: 10.32657/10356/35726
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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