UCSY's Research Repository

Clustering Homogeneous and Heterogeneous XML Documents by Summarizing Edge

Show simple item record

dc.contributor.author Thu, May Myat
dc.contributor.author Tun, Khin Nwe Ni
dc.date.accessioned 2019-07-18T13:40:58Z
dc.date.available 2019-07-18T13:40:58Z
dc.date.issued 2017-12-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/931
dc.description.abstract Extensible Markup Language(XML) is a markup language that defines a set of rules for encoding documents in format that is both humanreliable and machine-reliable. Large amount of XML documents on the web require the developed clustering techniques to group.In this system,XEdge clustering algorithm is applied for clustering of the homogeneous and heterogeneous XML documents in order to utilize in search engine.LevelStructure and LevelEdge are generated from tree and then calculate similarity and distance metrics.X-Edge provides a structure representation of XML documents based on edges summaries.Finally, the outputs of the system are clusters for homogeneous and heterogeneous XML documents. The advantage of this system is that the output clusters can be applied in the search engine. en_US
dc.language.iso en en_US
dc.publisher Eighth Local Conference on Parallel and Soft Computing en_US
dc.title Clustering Homogeneous and Heterogeneous XML Documents by Summarizing Edge en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository



Browse

My Account

Statistics