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XL MINER: Associations
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  • 1. Introduction to
    XLMiner™:
    ASSOCIATION AND CHARTS
    XLMiner and Microsoft Office are registered trademarks of the respective owners.
  • 2. ASSOCIATION
    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.
    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.
    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).
    The third parameter is the lift.
    Lift = confidence/ (ratio of the number of records containing the consequent to the total number of records)
    http://dataminingtools.net
  • 3. ASSOCIATION
    If the data in our table is in form of 0 and 1 the wizard by default selects the “data in binary matrix format". We may choose to override this.
    http://dataminingtools.net
  • 4. ASSOCIATION
    The conf,% of 52.89% represents that of all the persons who bought a “refbook” 52.89% bought Childbk and cookbks together.
    Support (a)shows number of transactions containing refbks and childbks, while Support(c ) shows number of transactions containing refbks.
    http://dataminingtools.net
  • 5. CHARTS
    Charts allows us to view the data in a visual fashion so as to interpret it easily.
    Many sheets are created during drawing models but are kept hidden. To delete them select the “Delete hidden sheets “.
    XLMiner provides us with three different methods to view data:
    Box plot
    Histogram
    Matrix plot
    http://dataminingtools.net
  • 6. CHARTS – BOX PLOT
    A box plot is an efficient method of displaying a five member data summary.
    The five members are:
    • Median
    • 7. Upper quartile
    • 8. Lower quartile
    • 9. Minimum data value
    • 10. Maximum data value
    Also, the box plot is not affected by outliers
    - i.e. inconsistent or aberrant data.
    It is also used to compare values.
    DATA SET
    http://dataminingtools.net
  • 11. CHARTS – BOX PLOT
    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.
    The notch-height represents the confidence interval around the mean. When we de-check "Notched" we do not expect the confidence interval to be displayed
    http://dataminingtools.net
  • 12. CHARTS – HISTOGRAM
    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.
    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. 
    http://dataminingtools.net
  • 13. CHARTS – HISTOGRAM
    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.
    http://dataminingtools.net
  • 14. CHARTS – MATRIX PLOT
    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
    DATA SET
    http://dataminingtools.net
  • 15. CHARTS – BOX PLOT
    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) .
    http://dataminingtools.net
  • 16. Thank you
    For more visit:
    http://dataminingtools.net
    http://dataminingtools.net
  • 17. Visit more self help tutorials
    Pick a tutorial of your choice and browse through it at your own pace.
    The tutorials section is free, self-guiding and will not involve any additional support.
    Visit us at www.dataminingtools.net