Adapting and enhancing decision tree-based method to index large DNA-protein sequence data using hybrid distributed shared memory programming model.
| dc.contributor.author | Jaber, Khalid Mohammad | |
| dc.date.accessioned | 2019-01-03T01:50:57Z | |
| dc.date.available | 2019-01-03T01:50:57Z | |
| dc.date.issued | 2011-02 | |
| dc.description.abstract | Sejak kebekalangan ini,saiz pangkalan data biologi telah bertambah secara signifikan;keadaan ini menyebabkan sesetangah pangkalan data mencapai saiz terabait.Dalam situasi kehidupan nyata,adalah penting untuk mengambil seluruh data yang sama dengan data soalan yang diberikan di dalam system pangkalan data besar dengan cepat. Lately, the size of biological databases has increased significantly; such that some databases have reached the terabyte size. In real life situation, the need is to rapidly retrieve the entire data which are similar to any given query data in a large database. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/7434 | |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Sains Malaysia | en_US |
| dc.subject | Tree based | en_US |
| dc.subject | 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 |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: