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Implementing Prediction System by Using Ontology based PHS Algorithm

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dc.contributor.author Hsan, Nu War
dc.contributor.author Phyu, Sabai
dc.date.accessioned 2019-07-03T04:45:46Z
dc.date.available 2019-07-03T04:45:46Z
dc.date.issued 2015-02-05
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/213
dc.description.abstract Web prediction is a classification approach to predict the next step of Web pages that a user may visit on the knowledge of the previously visited pages. The web usage mining techniques are used to analyze the web usage patterns for a web site. The user access log is used to fetch the user access patterns and these are used in the prediction process. There are many methods based on web usage mining for prediction system but most of all are based on traditional methods such as sequential pattern mining, clustering and so on. In this paper, the ontology based PHS (Perfect Hashing and Shrinking) algorithm is used in developing list by applying semantic similarity related with the domain ontology. en_US
dc.language.iso en en_US
dc.publisher Thirteenth International Conferences on Computer Applications(ICCA 2015) en_US
dc.subject Semantic Web en_US
dc.subject Ontology based PHS en_US
dc.subject Semantic Similarity en_US
dc.subject Web Server Log Files en_US
dc.subject Domain Ontology en_US
dc.subject Reference Ontology en_US
dc.subject PHS (Perfect Hashing and Shrinking) en_US
dc.subject PHP(Perfect Hashing and Pruning) en_US
dc.subject DHP (Direct Hashing and Pruning) en_US
dc.title Implementing Prediction System by Using Ontology based PHS Algorithm en_US
dc.type Article en_US

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