Order ID:89JHGSJE83839 | Style:APA/MLA/Harvard/Chicago | Pages:5-10 |
Instructions:
Research Paper on Big Data Analytics from the Perspective of Uncertainty
For your research paper, choose one of the following topics:
Additional research is needed into the interactions between each big data characteristic, as they do not exist in isolation in the real world.
Existing analytics techniques applied to large data must be empirically tested for scalability and efficacy.
To meet the real-time needs for judgments made based on massive amounts of data, new approaches and algorithms in machine learning and natural language processing must be created.
More research is needed on how to model uncertainty efficiently in machine learning and natural language processing, as well as how to express uncertainty emerging from big data analytics.
In recent years, CI algorithms have been utilized to tackle ML difficulties and uncertainty challenges in data analytics and process because they can discover an approximate answer in an acceptable amount of time.
The following requirements should be met by the paper:
It should be between four and six pages long, excluding the mandatory cover page and reference page.
Adhere to the APA 7 criteria. An introduction, a body with fully developed information, and a conclusion should all be included in your work.
Research Paper on Big Data Analytics from the Perspective of Uncertainty
RUBRIC |
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Excellent Quality 95-100%
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Introduction
45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Literature Support 91-84 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned. |
Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met. |
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Average Score 50-85% |
40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided. |
83-76 points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration. |
52-49 points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met. |
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Poor Quality 0-45% |
37-1 points The background and/or significance are missing. No search history information is provided. |
75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration. |
48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met |
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Research Paper on Big Data Analytics from the Perspective of Uncertainty |
Research Paper on Big Data Analytics from the Perspective of Uncertainty