
4 Experimental Result 

About more than 8 lakh letters are extracted from various types of documents such as prose, text book, novel, 

religious book etc. From this data we find out monographs, digraphs and then determine support and confidence to 

mine the association. 

Table 1: The first ten monograms of our experiment 

Letter Frequency Percentage

74300 9.039875 45525 5.538901 41844 5.091044 37010 4.502904 31214 3.797721 28996 3.527863 28212 3.432476 21451 2.609884 18419 2.240989 

17202 2.092920

So according to the 1-3 steps of the algorithm we can initialize the left and right side characters, which are as follows: Right { }, left { } Now we have to take the decision in which set the 5th character will lies. The decision is depend on the step 4. 

Table 2: The association of ka( ) with some letters are as follows 

The support and confidence of K with left item set { } is 

 1.011785 21.717897 

 0.502972 10.796271 

(After addition) 1.514757 32.514168 

So left support (cumulative) is 1.5154757 left confidence (cumulative) is 32.514168 

The support and confidence of K with right item set { } is 

| Digraph   | Frequency   | Support   | Confidence   |
|-----------|-------------|-----------|--------------|

So right support (cumulative) is 1.349776 

| 0.973338   | 20.892638   |           |
|------------|-------------|-----------|
| 0.376438   | 8.080228    |           |
| (After     | 1.349776    | 28.972866 |
| addition)  |             |           |
