Start Discovering Solved Questions and Your Course Assignments
TextBooks Included
Active Tutors
Asked Questions
Answered Questions
Identify the major security, privacy and ethical implications in data mining. Evaluate how significant these implications are for the business sector.
What is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
Explain the relationship among data mining, text min-ing, and sentiment analysis.
How big data analytics can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence.
Identify the tools to edit query optimizer strategies. Explain how performance of a database system is measured.
What is the importance of the master system database? Discuss the pros and cons of full database backup.
Are you considering doing a qualitative, quantitative, mixed method, project, etc., study, identify a possibly population to gather data from.
Create pivot tables for the mean of the binary outcome (Competitive?) as a function of the various categorical variables.
Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.
Discuss what methods can be employed to prevent a security breach? What programming languages are vulnerable to this type of attack?
Discuss what's simple random sampling? Is it possible to sample data instances using a distribution different from the uniform distribution?
Write a brief discussion of responsibilities for each role listed in the rows of your chart. Each role should be addressed in a separate paragraph.
Analyze some ways you would implement to formulate an effective brief. What are some advantages to your methods? What are some disadvantages?
Identify and write the main issues found discussed in the case (who, what, how, where and when (the critical facts in a case).
Write a 2 to 3 pages paper on a how your job/occupation or school major connects to Data Mining.
Discuss what does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.
What challenges does your organization face in ensuring that the data mining models are receiving clean data?
What are five Data Visualization pitfalls? What would you do to fix these pitfalls? How can you avoid making future mistakes in your own visualizations?
What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?
Describe an example of a very poorly implemented database that you've encountered (or read about) that illustrates the potential for really messing things up.
List reasons why companies should virtualize. List the benefits of blade servers. Define and describe the hypervisor. Define and describe green computing.
Why is it then that with RDBMS, a primary key and foreign key can still create redundancy thereby causing data anomalies? Can the same be said about blockchain.
Write a research paper on A Comparative Analysis of Stored Procedures used in Oracle 12c versus Stored Procedures used in IBM DB2.
How do trustworthy and ethical leaders enhance knowledge sharing in organizations? How does this impact the rate of information technology implementations?