|Title:||Web document categorization using tree matching algorithm|
|Subject:||HTML (Document markup language)|
Hong Kong Polytechnic University -- Dissertations
Department of Computing
|Pages:||75, 9 leaves : ill. ; 30 cm|
|Abstract:||We study the problem of classifying hierarchically structured information. Our work involve to classify (HTML) documents, and compare them to a set of defined template (or a repository of trees). We adopt the hierarchical classification problem as the problem of finding a "minimum-cost edit script" that transforms one data tree to another, and we present efficient algorithms for computing such as edit script. Our algorithms make use of some key domain characteristics to achieve substantially better performance than other general purpose algorithms. We study the feasibility and applicability of our algorithms, and an application focuses on Job classification of our techniques will be described.|
|Rights:||All rights reserved|
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|b15276624.pdf||For All Users (off-campus access for PolyU Staff & Students only)||2.24 MB||Adobe PDF||View/Open|
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