Data Mining & Visualization for Business Intelligence - Assignment
Added on 2020-03-28
6 Pages1230 Words48 Views
Data Mining and Visualization for Business Intelligence Assignment - 3[Pick the date]Student NameContents1.1Association Rules........................................................................................................................21.1.1I)...........................................................................................................................................21.1.2II)..........................................................................................................................................31.1.3III).........................................................................................................................................41.2Cluster Analysis............................................................................................................................41.2.1A).........................................................................................................................................4
1.2.2B)..........................................................................................................................................41.2.3C)..........................................................................................................................................41.2.4D).........................................................................................................................................51.2.5e)..........................................................................................................................................5RowIDConfidence%Antecedent(A)Consequent (C)Support for ASupport for CSupport for A& CLift Ratio180.51948052Brushes &ConcealerNail Polish& Bronzer77103623.908712647260.19417476Nail Polish &BronzerBrushes &Concealer10377623.908712647381.57894737Nail Polish &Concealer &BronzerBrushes76110623.7081339711.1Association Rules1.1.1I)Rule 1 implies that when any customer purchase brushes & concealer together, thenwith confidence of 80% they will buy Nail Polish & bronzer. The support here forevent A to happen is 77 which is derived from the no. of transaction that supports forA, while transaction that support the event C are 103. The event A & C happenedtogether about 62 times. The lift ratio indicate the chances of purchasing Brushes,Concealer, and Nail Polish & Bronzer when compared to the entire transaction.
According to Rule 2 when the customer purchase Nail Polish & Bronzer, they alsotend to purchase Brushes & Concealer. This result is supported by the number oftransaction falling into each event. For example, support for event A happening is 103and same for event C is 77. This rule is in complete opposition of the first rule, whichis the reason for the same lift ratio, though the confidence level for Rule 2 is less. According to Rule 3 if a customer purchase nail polish, concealer & bronzer togetherthen they also purchase brushes with 81% confidence level (Gupta, Garg, & Sharma,2014; Rajak & Gupta, 2008; Sujatha & CH, 2011).1.1.2II)RowIDConfidence%Antecedent (A)Consequent (C)Support for ASupport for CSupport for A& CLift Ratio180.51948052Brushes&ConcealerNail Polish &Bronzer77103623.908712647260.19417476Nail Polish &BronzerBrushes&Concealer10377623.908712647381.57894737Nail Polish &Concealer &BronzerBrushes76110623.708133971456.36363636BrushesNail Polish &Concealer &Bronzer11076623.708133971576.36363636BrushesNail Polish &Bronzer110103843.706972639681.55339806Nail Polish &BronzerBrushes103110843.706972639773.80952381Brushes&BronzerNail Polish &Concealer84109623.385757973856.88073394Nail Polish &ConcealerBrushes&Bronzer10984623.385757973970.64220183Nail Polish &ConcealerBrushes109110773.2110091741070BrushesNail Polish &Concealer110109773.2110091741167.07317073Blush & NailPolishBrushes82110553.0487804881250BrushesBlush & NailPolish11082553.048780488To understand the efficiency of the rules, there are various criteria. First of all we need toexamine into the confidence level which gives shows the confidence for the rules. Also, it should
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