Write a Research on Data Mining Algorithm Based on Association Rules and Similarity.
• In what ways the undertaken research would augment the theory/model in the current academic literature.
5.2 Practical contribution (1-2 in-text citations)
• Indicate the practical implications of the study and how it contributes to any given industry/organization.
6. LITERATURE REVIEW (5-8 in-text citations) (2-3 pages)
• A brief outline of the past and recent studies being conducted with reference to the proposal. The content must refer to both the past and current body of knowledge. The candidate must be able to demonstrate a clear understanding of the theoretical background attributable to the undertaken study.
* Do not repeat the content of introduction section here.
• What is the values of current proposed research compared to previous literatures?
8. METHODOLOGY（study design, study population, study variables, data collection, study area）
(In-text citations required if the protocols used are following previous publications)
• A brief presentation on research method and research design to be undertaken for the proposed study. Particular attention should be given to put it in a succinct manner.
*Avoid to use “they” “we” “I” in this section, and remember to use present tense (will be) as this is proposal, except when author discuss on past protocol used with in-text citation provided.
9. DATA ANALYSIS
(In-text citations required if the protocols used are following previous publications)
• A brief overview of the type of analysis being undertaken for the research. The basic objective of this section is to gauge the suitability of the analytical process to be utilized with reference to the undertaken research.
* NO NEED to include CONCLUSION, but can include EXPECTED OUTCOME
10. REFERENCES
APA 7th edition, >15 bibliographies required, within recent 10 years.
Below three things required when place order
Research area:
Computer science
Title of research proposal:
Research on Data Mining Algorithm Based on Association Rules and Similarity
KEYWORDS:
Data mining, algorithm
