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Harriet Boone is an artisan hobbyist with a strong interest in woodworking. Harriet makes inventive wooden wearable objects, which includes jewellery, brooches, hair pins, bracelets, and different adorns. Now Harriet desires to make a dwelling from her interest and believes she can use several avenues to monetise her artwork: through promoting the portions locally, and by using advertising her artwork on-line. Her concept is to film herself, and upload progress vlogs highlighting new portions she's created, in addition to tutorials for other artists to research from.

Harriet has just moved to Adelaide, and despite the fact that she has woodworking equipment (and a small workshop in her storage), her technical gadget is restricted to a GoPro and an antique Nikon DLSR. She plans to apply those cameras for filming, but she does not currently have her personal laptop or internet.

Harriet has got a touch little bit of financial savings that she's set aside for the computing facet of her enterprise totaling $2500. She will need to installation a website to begin income, and buy a pc with suitable software program to deal with video enhancing and uploading, as well as to control the standard small enterprise responsibilities.

Harriet does have IT experience - at the same time as not particularly informed about pc hardware, she will use a laptop, has simple revel in with video editing, and has no trouble using standard workplace software program. However, she lacks any experience in using accounting software, and has by no means constructed nor maintained a internet site.

ine Test Test3 Which of the following statements is true of unsupervised data mining? Select one: O a. Analysts apply unsupervised data mining techniques to estimate the parameters of a developed model. O b. Analysts create hypotheses only after performing an analysis. O c. Regression analysis is the most commonly used unsupervised data mining technique. d. Data miners develop models prior to performing an analysis, A W S PP 14 & delete 9 7 O P Y U1. Describe strategies business organizations use to mine social media to collect data and provide supporting examples. 2. Discuss how the data that are mined via social media can be used to create a competitive advantage for the business organizations. 3. Describe legal issues associated with business data mining activities, including specific laws governing data mining practices. 4. Provide an example of a company that faced legal issues as a result of the data mining strategies it employed. 5. Discuss ethical issues associated with business data mining activities. 6. Provide an example of a company that faced negative consequences as a result of ethical issues resulting from the data mining strategies it employed.What Do You Think? 1. Should your government continue to develop and deploy data mining tech- niques designed to identify terrorists? 2. Are you concerned about your personal data being included in government data mining operations? 3. Do you think that governments should apologize to and compensate individu- als who are inappropriately harmed by data mining operations