//check if vertical transaction is in list
private bool is_new(Vertical_transaction new_transaction, List <Vertical_transaction> new_data)
{
foreach (Vertical_transaction v in new_data)
{
var diff = v.itemset.Except(new_transaction.itemset);
if (diff.ToList().Count == 0)
{
return(false);
}
}
return(true);
}
// generate candidate itemset
private List <Vertical_transaction> generate_candidates(List <Vertical_transaction> vertical_data)
{
List <Vertical_transaction> new_data = new List <Vertical_transaction>();
if (vertical_data.Count == 0)
{
return(new_data);
}
if (vertical_data[0].itemset.Count == 1)
{
foreach (Vertical_transaction t1 in vertical_data)
{
foreach (Vertical_transaction t2 in vertical_data)
{
if (t1.itemset[0] != t2.itemset[0])
{
List <string> items_list = new List <string>();
items_list.Add(t1.itemset[0]);
items_list.Add(t2.itemset[0]);
//deal with duplicates
items_list.Sort();
List <int> tids = new List <int>();
List <int> onetids = new List <int>();
tids = t1.tids.Intersect(t2.tids).ToList <int>();
onetids = t1.onetids.Intersect(t2.onetids).ToList <int>();
double support = get_support(tids);
double confidence = get_confidence(tids, onetids);
Vertical_transaction new_transaction = new Vertical_transaction(items_list, tids, onetids, support, confidence);
if (is_new(new_transaction, new_data) && support >= min_sup && confidence >= min_conf)
{
new_data.Add(new_transaction);
string log = "";
foreach (string itemset in new_transaction.itemset)
{
log += itemset.ToString() + ", ";
}
}
}
}
}
return(new_data);
}
else
{
string log = "";
foreach (Vertical_transaction v in vertical_data)
{
foreach (string s in v.itemset)
{
log += s + ", ";
}
log += "\n";
}
int k_count = vertical_data[0].itemset.Count;
foreach (Vertical_transaction t1 in vertical_data)
{
t1.itemset.Sort();
foreach (Vertical_transaction t2 in vertical_data)
{
t2.itemset.Sort();
bool merge = true;
List <string> new_set = new List <string>();
for (int iterator = 0; iterator < k_count; iterator++)
{
if (t1.itemset[iterator].Equals(t2.itemset[iterator]) && iterator < k_count - 1)
{
new_set.Add(t1.itemset[iterator]);
}
else if (!t1.itemset[iterator].Equals(t2.itemset[iterator]) && iterator < k_count - 1)
{
merge = false;
}
}
if (t1.itemset[k_count - 1].Equals(t2.itemset[k_count - 1]))
{
merge = false;
}
if (merge == true)
{
new_set.Add(t1.itemset[k_count - 1]);
new_set.Add(t2.itemset[k_count - 1]);
List <int> tids = t1.tids.Intersect(t2.tids).ToList <int>();
List <int> onetids = t1.onetids.Intersect(t2.onetids).ToList <int>();
double support = get_support(tids);
double confidence = get_confidence(tids, onetids);
Vertical_transaction new_transaction = new Vertical_transaction(new_set, tids, onetids, support, confidence);
if (is_new(new_transaction, new_data) && support >= min_sup && confidence >= min_conf)
{
new_data.Add(new_transaction);
}
}
}
}
return(new_data);
}
}
