Adapting And Enhancing Decision-Tree Based Method To Index Large Dna-Protein Sequence Data Using Hybrid Distributed-Shared Memory Programming Model

dc.contributor.authorMohammad Jabber, Khalid
dc.date.accessioned2019-08-30T09:01:24Z
dc.date.available2019-08-30T09:01:24Z
dc.date.issued2011-02
dc.description.abstractLately, 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.urihttp://hdl.handle.net/123456789/8761
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectLarge Dna-Protein Sequence Dataen_US
dc.subjectHybrid Distributed-Shared Memory Programmingen_US
dc.titleAdapting And Enhancing Decision-Tree Based Method To Index Large Dna-Protein Sequence Data Using Hybrid Distributed-Shared Memory Programming Modelen_US
dc.typeThesisen_US
Files
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: