Fatin Nabilah, Abdul Raman (2015) Mining Significant Resistant Single Nucleotide Polymorphism Subset Using Apriori Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)
![[img]](http://digitalcollection.utem.edu.my/style/images/fileicons/text.png) |
Text (24 Pages)
Mining Significant Resistant Single Nucleotide Polymorphism Subset Using Apriori Technique 24 Pages.pdf - Submitted Version Download (464kB) |
Abstract
Immune Ant Swarm Optimization using Rough Reducts(IASORR) technique is the hybridization of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) using immunity. It is use a rough reducts calculation to identifying an optimal significant obesity attributes set along with immunity to discover a better fitness value in optimizing rough reducts set. Meanwhile, Apriori will also been applied in this project. It is used to find the frequent itemset among the given number of transactions or number of dataset. This paper will be evaluated and applied the mention techniquefor mining the obesity resistant single nucleotide polymorphism (SNPs) subset.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Algorithms, Data mining, Obesity -- Genetic aspects |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Library > Final Year Project > FTMK |
| Depositing User: | Nor Aini Md. Jali |
| Date Deposited: | 09 Nov 2016 00:39 |
| Last Modified: | 09 Nov 2016 00:39 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/17563 |
Actions (login required)
 |
View Item |
Altmetric
Altmetric