public static void run_algorithm(int num_entities, double min_support, int maximal_gap, string file_path)
{
Constants.FILE_NAME = file_path + ".csv";
bool closed = true;
Constants.OUT_FILE = file_path + "-support-" + min_support + "-maxgap-" + maximal_gap + ".txt";
double dsp = (num_entities * (min_support / 100.0));
Constants.MINSUP = (int)dsp == dsp ? (int)dsp : (int)dsp + 1;
Console.WriteLine(Constants.MINSUP);
Constants.MAX_GAP = maximal_gap;
long dt1 = DateTime.Now.Ticks / TimeSpan.TicksPerMillisecond;
//Create the Temporal DB
TemporalDB tdb = new TemporalDB(Constants.FILE_NAME);
//Run the main Algorithm
CTP ctp = CCMiner.ccMiner(tdb, closed);
long dt2 = DateTime.Now.Ticks / TimeSpan.TicksPerMillisecond;
long diff = dt2 - dt1;
Console.WriteLine("Finished Running: support - " + min_support + " gap - " + maximal_gap);
Console.WriteLine(diff);
Thread.Sleep(2000);
string[] to_write = new string[1];
to_write[0] = diff + "";
File.WriteAllLines(Constants.OUT_FILE + "-stats.txt", to_write);
//outputConverter(Constants.OUT_FILE);
}
//Sets the inervals
private void setIntervalsAndRelations()
{
relations = new Dictionary <int, Dictionary <int, string> >();
TemporalDB db = CCMiner.mainDB;
sequences = new List <EventSequence>();
for (int k = 0; k < actual_ids.Count; k++)
{
string t_id = TransformedDB.getID(actual_ids[k]);
ids.Add(k, t_id);
string id = t_id;
EventSequence seq = new EventSequence();
List <string> seq_syms = CoincidenceManager.
getPatternSymbols(pDB.patterns[actual_ids[k]].Item1);
foreach (string sym in seq_syms)
{
seq.ints.Add(db.seqs[id].getInterval(sym));
}
sequences.Add(seq);
if (k == 0)
{
for (int i = 0; i < length; i++)
{
relations.Add(i, new Dictionary <int, string>());
for (int j = i + 1; j < length; j++)
{
EventInterval ei1 = seq.ints[i];
EventInterval ei2 = seq.ints[j];
string rel = getRelation(ei1, ei2);
relations[i].Add(j, rel);
}
}
}
}
}
//The CCMiner main algorithm
public static CTP ccMiner(TemporalDB DB, bool closed)
{
CTP ctp = new CTP();
mainDB = DB;
//Transforms the db into cincidence representation
TransformedDB tdb = DB.transformDB();
//all frequent slices
Dictionary <string, int> tp1 = tdb.slicesFreq();
//backward extension slices
List <string> BS = null;
//int tasks = 0;
int count = 0;
foreach (KeyValuePair <string, int> entry in tp1)
{
count++;
Console.WriteLine(count + "/" + tp1.Count + "/" + entry.Key);
//For each frequent starting slice
if (entry.Value >= Constants.MINSUP && entry.Key.IndexOf(Constants.MEET_REP) < 0 &&
entry.Key.IndexOf(Constants.ST_REP) > 0)
{
BS = new List <string>();
TransformedDB projDB = tdb.projectDB(entry.Key, null, false);
if (!closed || !tdb.CBackScan(BS, entry.Key))
{
if (closed)
{
BS.AddRange(tdb.backwardExtensionCheck(entry.Key));
}
CBIDE(projDB, entry.Key, projDB.sup, projDB.trans_db.Count, BS, ref ctp, closed);
}
}
}
return(ctp);
}
