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Similarity-Based Measure from Text-Document

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dc.contributor.author Aung, Nway Htet Htet
dc.contributor.author Mar, Soe Hay
dc.date.accessioned 2019-07-31T02:55:11Z
dc.date.available 2019-07-31T02:55:11Z
dc.date.issued 2009-12-30
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/1475
dc.description.abstract In this paper, there is describing a similarity-based retrieval framework that addresses the challenges associated with the relational database text documents. This system proposed to automatically classify documents based on the meanings of words and the relationships between groups of meanings or concepts. There may be found similar documents based on a set of common keywords and retrieved these documents based on the degree of relevance which is measured on the relative frequency of the keywords. So, this system uses measure similarity between new and old thesis title description to detect duplicate system in case study. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title Similarity-Based Measure from Text-Document en_US
dc.type Article en_US


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