Assignment 1: XXXXXXXXXXDue date: 08/26/2020 By definition, a graduate-level research paper provides a discussion of the content in the scholarly article from peer-reviewed sources where research was...

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Assignment 1: Due date: 08/26/2020 By definition, a graduate-level research paper provides a discussion of the content in the scholarly article from peer-reviewed sources where research was performed using relevant keywords. Do a research on the UMGC library for scholarly articles related to the below question, and then answer the below question. Answer the below questions by providing 150 words for each. 3) Describe one unique and specific example of market basket analysis or DNA sequence analysis where data mining can help. Explain how it would help the retailer or sponsor of the data mining effort (150 words). 4) Describe one unique and specific example where you would use classification of type Decision Tree, Bayesian or Rule-Based and explain WHY. Use references and justification to support your point of view (150 words). 5) Describe one unique and specific example where you would use Nonlinear Regression methods or Neural Networks and explain WHY. Use references and justification to support your point of view (150 words). 8) Search the web for an instance involving the use of data mining for cluster or outlier analysis. (One good example is fraud detection). Describe the example and relate what the impact was. Provide the link. Use references and justification to support your point of view (150 words). 9) In this question we start integrating all studied methods for more complex applications. You should do some research and describe one unique application example of Mining Streams. Explain what type of mining is used: Stream frequent pattern analysis Stream classification Stream cluster analysis and what specific method is used. For example, Very Fast Decision Tree or any other (150 words). Grading rubric: · APA formatting of each question including citations and references is worth 10 points. One point off for each error. · Each scholarly article from peer-reviewed sources from the UMGC library is worth two points for a maximum of 8 points. · Content relevant to each question is worth 10 points. Distinguished (10), Advanced (8), Proficient (6), Basic (4), or Unacceptable (2). · Question length between 100 and 150 words for the Content is worth 9 points, met (9) or unmet (0). The References section is not included in the word count. · Proper spelling, punctuation, and grammar are worth 9 points. One point off for each error. Warning: Wikipedia and sites such as blogs are not scholarly sources and will result in a zero grade for APA citation and references. You should use the UMGC library to perform graduate-level research for scholarly articles from peer-reviewed sources. Therefore, use only references from the UMGC library for all research in this assignment. This assignment will be submitted to Turnitin; therefore, similarity index should be less than 10%. UMGC Libray: https://sites.umgc.edu/library/index.cfm?_ga=2.26659579.75802204.1590034987-36080969.1569956532 If it prompts you to login, use this Username: saku Password: chk@25SA
Answered Same DayAug 18, 2021

Answer To: Assignment 1: XXXXXXXXXXDue date: 08/26/2020 By definition, a graduate-level research paper provides...

Deepti answered on Aug 21 2021
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3. The vendor Amazon uses Market Basket Analysis to make product recommendations. The actions that define which products is the customer inclined to buy are defined by mainstream marketing planning. Amazon uses the software that analyses the voluminous data that it collects to analyze which products should be shown along with the main product of interest to the customer. The following screenshot shows a product offered by the vendor along with other products which could be of interest to the customer.
The data mining effort will visualize the degree of attraction between products thus allowing the retailer to make better decisions. The technique shall rank sets of products by probability to identify the associations which are prevalent, determining the products that should be placed closer in order to increase the probability of bundle purchases. This technology can be helpful to the retailer in offering discount for other items chosen by the customer during sale. Subsequently, a newsletter can be sent to customer including interesting products. When sale ends, the retailer can offer coupons to lure the customer to purchase more items.
4. Decision Tree classification can be used in case of fraudulent use detection in credit card transaction data. This is real data stream which can be obtained 24 hours a day (Minegishi, 2013). This classification can be used in financial analysis for customer satisfaction with a service or product. A profitable stock portfolio can be created based on fundamental data. Stock price may be taken as continuous variable. Classification tree can be used to estimate future stock price and it would be effective on large number of classes of modified dataset (Andriyashin, 2005). This can be done through the use of artificial classes. In case of stock price estimation, three classes can be used in order to provide a rule to the investor based on current information set. Decision Tree can use binomial option pricing using discrete...
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