public virtual void calc_confidence_method_base(string[] frqitmset, string[] tmpdt, int initial, int stop, int no, int r, int confidence, string[] articles, int a, string file)
{
Apriori inst4 = new Apriori();
Apriori inst5 = new Apriori();
if (no == r)
{
for (int j = 0; j < a; j++)
{
for (int k = 0; k < r; k++)
{
if (articles[j].Equals(tmpdt[k]))
{
return;
}
}
}
inst4.result(confidence, r, file, tmpdt, articles, a);
return;
}
for (int u = initial; u <= stop && stop - u + 1 >= r - no; u++)
{
tmpdt[no] = frqitmset[u];
inst5.calc_confidence_method_base(frqitmset, tmpdt, u + 1, stop, no + 1, r, confidence, articles, a, file);
}
}
public virtual void calc_confidence_method(string[] frqitmset, string[] articles, int initial, int stop, int no, int a, int confidence, string file)
{
Apriori inst3 = new Apriori();
if (no == a)
{
for (int r = 1; r < stop; r++)
{
string[] tmpdt = new string[r];
inst3.calc_confidence_method_base(frqitmset, tmpdt, 0, stop - 1, 0, r, confidence, articles, a, file);
}
return;
}
for (int i = initial; i <= stop && stop - i + 1 >= a - no; i++)
{
articles[no] = frqitmset[i];
inst3.calc_confidence_method(frqitmset, articles, i + 1, stop, no + 1, a, confidence, file);
}
}
