Order ID 6463784949 Type Essay Writer Level Masters Style APA/MLA/Harvard/Chicago Sources/References 6 Number of Pages 5-10 Pages Description/Paper Instructions
Unit Code Unit Title Semester
SEN 4210
Business Intelligence and Big Data
Spring 2020
Assessment Details and Submission Guidelines Assessment Type Individual assignment Assessment Title Business Intelligence, data mining and Big Data Purpose of the This assignment is designed to assess students’ knowledge and skills related to the assessment (with following learning outcomes: CLO Mapping) 1. LO-1: Describe the business intelligence (BI) methodology and concepts. 2. LO-2: Understand the objectives and benefits of business analytics and data mining. 3. LO-3: Understand the motivation for and business drivers of Big Data analytics Weight 15% of the total assessments Total Marks 100 Word limit NA Submission • All work must be submitted on Moodle by the due date along with a cover page. Guidelines • The assignment must be in MS Word format, 1.5 spacing, 11-pt Calibri (Body) font and 2.54 cm margins on all four sides of your page with appropriate section headings. • Reference sources must be cited in the text of the report and listed appropriately at the end in a reference list using IEEE referencing style. Due Date Week 14, 22th May 2020 – submit your report on Moodle Late submission • late project submissions will result in a penalty. A one-week late submission results in a 10% deduction on the project marking; while a project submitted between 1 and 2 weeks late will be subject to a 20% deduction on the project marking. Submissions after two weeks will be considered a fail on the project. Academic • Plagiarism is defined as the presentation of another person’s work as your own. Misconduct and This includes copying from books without referencing the material or copying Plagiarism from another student’s work. Instructor Name Dr Mostafa Kamil Moderator Name Dr Don
Spring 2020
SEN 4210 Business Intelligence and Big Data
Assignment Description
Problem-1: LO-2
Discuss the main data mining techniques. What are the fundamental differences among them?
Problem-2: LO-2 and LO-3
Examine how new data capture devices such as RFID tags help organizations accurately identify and segment their customers for activities such as targeted marketing and prediction. Many of these applications involve data mining techniques.
- Scan the literature and the Web and then propose five potential new data mining applications that can use the data created with RFID technology.
- What issues could arise if a country’s laws required such devices to be embedded in everyone’s body for a national identification system?
Problem-3: LO-1 and LO-3
Go to https://www.cloudera.com/. Find at least two customer case studies on Hadoop implementation, and write a report in which you discuss the commonalities and differences of these case studies.
Note: attached the original case studies to your answer sheet.
Problem-4: LO-1 and LO-3
Go to google.com/scholar, and search for articles on stream analytics. Find at least three related articles. Read and summarize your findings.
Note: attached the original articles to your answer sheet.
.
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SEN 4210 Business Intelligence and Big Data
Marking criteria:
Marking criteria is shown in following table. Marks are allocated as follows:
Sections to be included in Description of the section Marks the report Problem-1 Discuss the main data mining methods. 15 Problem-2 Discuss data mining application using RFID data 25 Problem-3 Critically analyze the content of the chosen case 25 studies Problem-4 Critically analyze the content of the chosen articles. 30 Reference style Follow IEEE reference style 5 Total 100 Marking Rubric for Assignment-1: Total Marks 100 Note: The marking rubrics varies for each assignment Mark 80-100% 70-88% 60-68% 50-58% <50% Excellent Very Good Good Satisfactory Unsatisfactory Problem-1 All topics are Topics are Generally Some This is not /15 pertinent and relevant and relevant and relevance relevant to the covered in depth. soundly analysed. and briefly assignment Ability to think analysed. presented. topic. critically and source material is demonstrated Problem-2: Logic is clear and Consistency Mostly Adequate The argument is /25 easy to follow with logical and consistent cohesion and confused and strong arguments convincing logical and conviction disjointed convincing Problem-3: Demonstrated Demonstrated Demonstrate Demonstrate Demonstrated /25 excellent very good d good d unsatisfactory understanding of understanding understanding satisfactory understanding the two case of defining the of defining understandin of the two case studies. two case the two case g of the two studies. studies. studies. case studies. Problem-4: Demonstrated Demonstrated Demonstrate Demonstrate Demonstrated /30 excellent very good d good d unsatisfactory understanding of understanding understanding satisfactory understanding the three articles. of defining the of defining understandin of the three three articles. the three g of the articles. articles three articles. Reference Clear styles with Clear Generally Sometimes Lacks consistency style excellent source of referencing good clear with many errors references. style referencing referencing /5 style style
END of ASSIGNEMENT – GOOD LUCK
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