/// <summary>
/// Createa new association rule and calculate its confidence and lift metrics on the given data set.
/// </summary>
/// <param name="ante">The binarized element X, of X -> Y</param>
/// <param name="anteSize">The size of X</param>
/// <param name="conq">The binarized element Y, of X -> Y</param>
/// <param name="conqSize">The size of Y</param>
/// <param name="DataSet">The data set to use to calculate metrics.</param>
public AssociationRule(uint ante, int anteSize, uint conq, int conqSize, CompactDataSet DataSet)
{
Antecedant = ante;
Consequent = conq;
Confidence = DataSet.calcConfidence(ante, anteSize, conq, conqSize);
Lift = DataSet.calcInterest(ante, anteSize, conq, conqSize);
}
private static void Apriori(DataSet data)
{
Stopwatch stopwatch = new Stopwatch();
stopwatch.Start();
bool verbose = true;
var cData = new CompactDataSet(data) { Verbose = verbose };
var miner = new AprioriMiner(cData) { MinSupport = 0.01, MinConfidence = 0.3, Verbose = verbose };
cData.printInfo();
miner.mine();
stopwatch.Stop();
TimeSpan ts = stopwatch.Elapsed;
//Format and display the TimeSpan value.
string elapsedTime = String.Format("{0:00}:{1:00}:{2:00}.{3:00}",
ts.Hours, ts.Minutes, ts.Seconds,
ts.Milliseconds / 10);
Console.WriteLine("Apriori RunTime: " + elapsedTime);
}
/// <summary>
/// Create a new Apriori Miner
/// </summary>
/// <param name="DataSet">The data set to mine.</param>
public AprioriMiner(CompactDataSet DataSet)
{
this.DataSet = DataSet;
}
