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# XL MINER: Associations

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XL MINER: Associations

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### XL MINER: Associations

1. 1. Introduction to<br />XLMiner™: <br />ASSOCIATION AND CHARTS<br />XLMiner and Microsoft Office are registered trademarks of the respective owners.<br />
2. 2. ASSOCIATION<br />Association rules are used to find out the interesting and useful relationships between data that occur frequently enough to be called a pattern (or a trend) and hence, can be formulated into a rule. Each of these rules has an if-then structure with an antecedent and a consequent and has three properties associated with it – support, confidence and lift. <br />Support is the number of records that contain both the antecedent and consequent i.e. the number of records for which the rule holds true.<br />Confidence is the ratio of the support to the number of the records where the antecedent occurs (i.e. a ratio of the number of records where the rule holds true to the total number of records where antecedent occurs). <br />The third parameter is the lift.<br />Lift = confidence/ (ratio of the number of records containing the consequent to the total number of records)<br />http://dataminingtools.net<br />
3. 3. ASSOCIATION<br />If the data in our table is in form of 0 and 1 the wizard by default selects the “data in binary matrix format&quot;. We may choose to override this.<br />http://dataminingtools.net<br />
4. 4. ASSOCIATION<br />The conf,% of 52.89% represents that of all the persons who bought a “refbook” 52.89% bought Childbk and cookbks together.<br />Support (a)shows number of transactions containing refbks and childbks, while Support(c ) shows number of transactions containing refbks.<br />http://dataminingtools.net<br />
5. 5. CHARTS<br />Charts allows us to view the data in a visual fashion so as to interpret it easily.<br />Many sheets are created during drawing models but are kept hidden. To delete them select the “Delete hidden sheets “.<br /> XLMiner provides us with three different methods to view data:<br />Box plot<br />Histogram<br />Matrix plot<br />http://dataminingtools.net<br />
6. 6. CHARTS – BOX PLOT<br />A box plot is an efficient method of displaying a five member data summary. <br />The five members are:<br /><ul><li>Median
7. 7. Upper quartile
8. 8. Lower quartile
9. 9. Minimum data value
10. 10. Maximum data value</li></ul>Also, the box plot is not affected by outliers <br /> - i.e. inconsistent or aberrant data. <br />It is also used to compare values.<br /> DATA SET<br />http://dataminingtools.net<br />
11. 11. CHARTS – BOX PLOT<br />Since the X-Var in the data set holds 2 values(3 and 4) 4 boxes one for each value of Y1 and Y2 are drawn.<br /> The notch-height represents the confidence interval around the mean. When we de-check &quot;Notched&quot; we do not expect the confidence interval to be displayed<br />http://dataminingtools.net<br />
12. 12. CHARTS – HISTOGRAM<br />Histogram:A histogram is a bar graph. It has frequency of occurrence on the Y axis and the variable to be examined on the X axis.<br />Histograms are popular among statisticians.  Though they do not show the exact values of the data points they give a very good idea about the spread of the data and shape. <br />http://dataminingtools.net<br />
13. 13. CHARTS – HISTOGRAM<br />This histogram shows the minimum and maximum values . The tools decides the number of intervals .Here there are 11 intervals. Each bar represents the frequency of that value in the data set.<br />http://dataminingtools.net<br />
14. 14. CHARTS – MATRIX PLOT<br />A Matrix plot is a kind of Scatter Plot which enables the user to see the pair wise relationships between variables. XLMiner� allows eight variables to be plotted against each other at a time<br /> DATA SET<br />http://dataminingtools.net<br />
15. 15. CHARTS – BOX PLOT<br />The dots represent the values of variables. To find the actual value multiple the value on graph (refer the scale ) to the multiplier (for e.g. 102 in case of AGE) .<br />http://dataminingtools.net<br />
16. 16. Thank you<br />For more visit:<br />http://dataminingtools.net<br />http://dataminingtools.net<br />
17. 17. Visit more self help tutorials<br />Pick a tutorial of your choice and browse through it at your own pace.<br />The tutorials section is free, self-guiding and will not involve any additional support.<br />Visit us at www.dataminingtools.net<br />