Assessment item 2—Assignment 2 Due date: 11:00pm AEST, Friday, Week 12 Students are to submit electronically – max file size is 5 Mb. ASSESSMENT Weighting: 45% 2 Length: Refer to individual section...

There is specification file but i need only question number 3 and question number 4. please do according to the marking criteria


Assessment item 2—Assignment 2 Due date: 11:00pm AEST, Friday, Week 12 Students are to submit electronically – max file size is 5 Mb. ASSESSMENT Weighting: 45% 2 Length: Refer to individual section requirements Objectives This assessment item relates to course learning outcomes numbers 3, 4 and 5 as stated on page 1 of the course profile. Question 1 (4 marks) What is text mining and how does it differ from data mining? Describe the technologies that can be used to process text mining and provide two applications of text mining (maximum 400 words). Question 2 (6 marks) Visit https://www.techemergence.com/ai-in-business-intelligence-applications/. Learn “6 Examples of AI in Business Intelligence Applications”. Understand how artificial intelligence (AI) is impacting business in some specific fields, such as healthcare, social media, supermarket and so on. Discuss the following topics: (Maximum 600 words) · Why artificial intelligence is important for supporting business to build smart systems · How artificial intelligence helps to transform companies · The thread of artificial intelligence and the limitations of smart systems Question 3 (15 marks) Read the resource material available on the course website about WEKA (in Week 5 and Week 6). Download WEKA software and install it onto your computer (ensure the bundled Java Runtime Environment, i.e. jre is installed). After successful installation of the program, classify bank accounts from the data bank-data.arff using J48 classifier (keep other parameters as default,). The bank-data.arff file can be found on the course website. Write an analysis report based on the classification results. You need to include the results in your report. (Maximum 1000 words) Hints: · To classify data in WEKA, use “Open file”, than select “Classify” ► “Classifier (Choose)” ► “trees” ►“J48” · You need to develop a decision tree and explain the output as well as the important variables required for generating the output · The report should include · your understanding of WEKA software and data analysis · analysis of classification results · summary or conclusion Question 4 (10 marks) Search a business performance dashboard on the Internet, similar to the following examples: Review the available options or views to complete following tasks: · Discuss how the business performance is illustrated. What sort of information is provided by the dashboard? What visual objects are used? What quantitative or qualitative measures are being reported in the dashboard? · Provide a critique of the dashboard design and ways in which the design could be improved. Search the web for information on ‘Information Dashboard Design’ and construct your critique using 3 additional references, apart from the prescribed textbook. Note: The details of your found dashboard should be provided with your answers. Oral Presentation (10 marks) Choose one topic from all the topics covered in the course, and present the topic in your tutorials/labs class. Students are required to develop a PowerPoint Slides for your presentation. The maximum number of slides is limited to 10. The oral presentation will take 15 minutes approximately. Submission of Assessment The assignment is to be submitted as 2 separate files using the electronic assignment submission system that can be accessed from the link on the course website. The two files to be submitted are as follows: · A Word document with the answers to the questions for 1 to 4 · A Power Point file that contains your oral presentation. No zip file is allowed for the submission. Marking Guide COIS13013 – Assignment 2 (45 marks) Content Marks allowed Marks awarded Comment Question 1 (4 marks) Definition of text mining 1 Differences between text ming and data ming 1 Technologies that can be used to process text mining 1 Two applications of text mining 1 Question 2 (6 marks) The importance of AI for supporting business 2 The ways of AI help to transform companies 2 The thread of AI 1 The limitations of smart systems 1 Question 3 (15 marks) WEKA software (report your understanding) 2.5 Data analysis (report your understanding) 5 Classification results are reported and analysed 5 Summary or conclusion 2.5 Question 4 (10 marks) Information provided by the dashboard 5 Critique of the dashboard design 5 Question 5 (10 marks) Presentation file 5 Oral (interview) performance 5 TOTAL 45 Plagiarism, late submission etc. FINAL MARKS 1
May 12, 2020COIS13013Central Queensland University
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