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Note: This assignment is pen and paper hand work. Thereby, except a calculator, nothing else is expected to he required. So, please do not do any coding in R or Python or Weka and upload that in your submission. You are also expected to show the details of all steps in your calculation in order to score full marks. 1. Association rules: Marks: 3|] One of the major techniques in data mining involves the discovery of association rules. These rules correlate the presence of a set of items with another range of values for another set of variables. The database in this context is regarded as a collection of transactions, each involving a set of items, as shown below. Trans ID Items Purchased 2001 Meat, Potato, Union 2002 Meet, Noodle 2003 Noodie, Spinach 2004 Meet, Potato, Union 2005 Union, Potato, Noodle 2006 Eggs, Spinach 2007 Eggs, NoodEe 2008 Meet, Potato, Salt, Union 2009 Salt, Spinach 2010 Meet, Potato 1.1 Apply the Apriori algorithm on this dataset. Note that, the set of items is {Meat, Potato, Onion, Noodle, Spinach, Eggs, Salt}. You may use 0.3 for the minimum support value. 1.2.. Show the rules that have a condence of 0.8 or greater for an itemset containing three items