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- W2188353110 abstract "In the past decade, extending the keyword search paradigm to relational data has been an active area of research within the database and information retrieval community. Many approaches have been proposed but there remains severe lack of standardization for system evaluations. This paper presents the most extensive empirical performance evaluation of relational keyword using an enhanced coherency technique in a peer to peer system. In this paper consider a peer to peer system having same databases for relational keyword searching and evaluations. From one remote system we can directly access all the other relational databases that is connected to a network and evaluate the efficiency of new proposing searching algorithm with traditional searching method. The results indicate that traditional approach have little time consuming whenever the number of nodes increases. In summary my work confirms the unacceptable performance of traditional approach by using an enhanced coherency technique. Keywords-Relational data, performance evaluation, tuples, sampling, DISCVOVER, coherency technique, random walk." @default.
- W2188353110 created "2016-06-24" @default.
- W2188353110 creator A5069691623 @default.
- W2188353110 date "2015-01-01" @default.
- W2188353110 modified "2023-09-27" @default.
- W2188353110 title "Magnified Coherency Technique for Effective Relational Keyword Search" @default.
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