private static void KSequence(DataSet data, int k, double minimumSupport, bool filterRepeatedNavigations = true)
{
(new KSequenceMiner
{
DataSet = data,
FilterRepeatedNavigations = filterRepeatedNavigations,
K = k,
MinimumSupport = minimumSupport
}).Mine();
}
public static void Main(string[] args)
{
var dataSet = new DataSet(Resources.msnbc990928);
dataSet.DataHeaders.ToList()
.ForEach(
u => Console.WriteLine("{0}:{1}", u.Key, u.Value)
);
// Apriori(dataSet);
// Markov(dataSet);
KSequence(dataSet, 3, .01, true);
Console.WriteLine("-----");
KSequence(dataSet, 3, .01, false);
Console.ReadLine(); //Stop program so we can read output
}
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);
}
private static void Markov(DataSet data)
{
(new MarkovMiner() { DataSet = data }).Mine();
}
