Adapting And Enhancing Decision-Tree Based Method To Index Large Dna-Protein Sequence Data Using Hybrid Distributed-Shared Memory Programming Model
dc.contributor.author | Mohammad Jabber, Khalid | |
dc.date.accessioned | 2019-08-30T09:01:24Z | |
dc.date.available | 2019-08-30T09:01:24Z | |
dc.date.issued | 2011-02 | |
dc.description.abstract | Lately, the size of biological database has increased significantly; such as that some database have reached the terabyte size. In real life situations, the need is not rapidly retrieve the entire data which are similar to any given query data in large database. | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/8761 | |
dc.language.iso | en | en_US |
dc.publisher | Universiti Sains Malaysia | en_US |
dc.subject | Large Dna-Protein Sequence Data | en_US |
dc.subject | Hybrid Distributed-Shared Memory Programming | en_US |
dc.title | Adapting And Enhancing Decision-Tree Based Method To Index Large Dna-Protein Sequence Data Using Hybrid Distributed-Shared Memory Programming Model | en_US |
dc.type | Thesis | en_US |
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