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Implementing Prediction System by Using Ontology based PHS Algorithm
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| dc.contributor.author | Hsan, Nu War
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| dc.contributor.author | Phyu, Sabai
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| 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 |
