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Provide a one paragraph summary of the literature review - discuss the structure of the literature review and what was achieved with the literature review.
Explain the purpose of having user involvement and product goals before requirements can be established. Suggest degree to which most users should involved.
What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?
Discuss some ways you would implement to formulate an effective brief. What are some advantages to your methods? What are some disadvantages?
What are the key features for each of these database platforms? What are differentiators compared to other database platforms in its like-kind class?
What are the main reasons for the recent popularity of data mining? What are the privacy issues with data mining? Do you think they are substantiated?
Why are there many names and definitions for data mining? What are the main reasons for the recent popularity of data mining?
What are the main reasons for the recent popularity of data mining? Distinguish data mining from other analytical tools and techniques.
What are the strategic and technical security measures for good database security? Create a diagram of a security model for your research paper.
Describe how cloud-based data storage works. List the pros and cons of cloud-based data storage. List the pros and cons of a cloud-based database.
Briefly describe a data visualization project (either real or fictional) that might be needed in your workplace.
Sometimes these terms are used synonymously but there is a difference. What is the difference between Data Analytics vs Data Mining?
Describe the process to obtain and process data, the analytic criteria you will use, and the nature of the required data to answer to the research question.
What are the various types of classifiers? What is a rule-based classifier? What is the difference between nearest neighbor and naïve bayes classifiers?
What were the results of the study? Note what opinion mining is and how it's used in information retrieval.
Discuss some of the constraints that must be overcome in order to build a successful implementation of a database system.
How does each table relate to answering those questions? How do I have to link the tables in order to be able to answer those questions?
Briefly analyze the issue with theories found in your textbook or other academic materials. Decide which ideas, models, and theories seem useful.
Identify and explain the core modules of Hadoop. Write the SQL queries to provide create, read, update, and delete (CRUD) records to this table.
Identify the functional dependencies that you expect should hold for the Restaurant Database domain. Use the dependencies to find keys and BCNF normal forms.
Create one instrument that could be used to gather data for your mock dissertation topic.
Discuss other options you discarded. Your original analysis must be substantive and represent at least 50% of your response.
What are the physical properties of the data set? What other data could you imagine would be valuable to consolidate the existing data?
Composition deals with the overall readability and meaning of the project. Discuss one component of either project composition or chart composition and discuss.
What are the physical properties of the data set? What could you do/would you need to do to clean or modify the existing data to create new values to work with?