Chapter 7 Discussion Question 1: Explain the relationship among data mining, text mining, and sentiment analysis. Discussion Question 2: In your own words, define text mining, and discuss its most popular applications. Discussion Question 3: What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them. Discussion … Read more
Chapter 3 Discussion Question 1: How do you describe the importance of data in analytics? Can we think about analytics without data? Explain. Discussion Question 2: Considering the new and broad definition of business analytics, what are the main inputs and outputs to analytics continuum? Discussion Question 3: Where do the data for business analytics … Read more
Q1. 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. Q2. What are the privacy issues with data mining? Do you think they are substantiated? Each response should be 300 words. There must be at least one APA formatted … Read more
Based on the feedback update the proposal you wrote. Please follow the guidance based on the attached documents. Please track changes in Word when editing your draft. You can go to Review – > Track Changes. You do not need to comment on where you added changes or why, just make the changes you think … Read more
Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories … Read more
What is the definition of data mining that the author mentions? How is this different from our current understanding of data mining? What is the premise of the use case and findings? What type of tools are used in the data mining aspect of the use case and how are they used? Were the … Read more
· What were the traditional methods of data collection in the transit system · Why are the traditional methods insufficient in satisfying the requirement of data collection · Give a synopsis of the case study and your thoughts regarding the requirements of the optimization and performance measurement requirements and the impact to expensive and labor-intensive … Read more
This week we also discuss the concepts in chapter seven, which deals with the basic concepts and algorithms of cluster analysis. After reading chapter seven answer the following questions: What is K-means from a basic standpoint? What are the various types of clusters and why is the distinction important? What are the strengths and weaknesses … Read more