Tutorial work Consider a census data set created jointly by local authorities, which contains more than thousand records and has the following variables: Variable Name Data Type Variable Description Record Number ID CRIM ME Crime rate in the region Average value of residential properties in the ratio Region longitude Region latitude Number of people in the region Average number of rooms per dwelling in the region Puplil-teacher ratio in the region Number of state schools in the region Number of independent schools in the region LOCK LOCY ratio RM ratio REGPT ratio interval interval REGIND Suggest two potential data mining tasks you may conduct with this data set, one for predictive modelling and the other for descriptive modelling. Briefly discuss what information/knowledge/patterns you would expect to find out from your data mining process. Any other meaningful data mining tasks? Search on the Internet for an article describing a case study of applying data mining in a business sector (such as retail, healthcare, medical diagnosis, education, banks, insurance, etc, etc...). Study the case study carefully and answer the following questions: What business problem was concerned and why? What data mining task(s) was (were) performed and why? What procedures/methodologies were followed in order to conduct the data mining exercise? What data mining algorithm(s) was (were) used and why? . The outcomes of the data mining process, and how they were used to support the business. Please attempt these questions before you attend the tutorial Page 2 of 2