static void Main(string[] args)
{
Console.WriteLine("*******************************************************");
Console.WriteLine("Elija una opción:");
Console.WriteLine("1. Depurar Datos de entrada (1)");
Console.WriteLine("2. Correr algoritmo Apriori con busqueda intensiva (2)");
Console.WriteLine("*******************************************************");
Console.WriteLine("\n");
Console.WriteLine("Ingrese valor de minSupport para los items (1-100)%");
double minS = Convert.ToInt32(Console.ReadLine());
FIGeneration fIGeneration = new FIGeneration(minS, true); //true ejemplo del libro, false datos allers
fIGeneration.FrequentItemGeneration(3); // parametro tamaño k de k-itemset comniacion maximo
//fIGeneration.AprioriFrequentItemGeneration();
foreach (ItemSet itemset in fIGeneration.candidates)
{
String cods = "";
itemset.items.ToList().ForEach(x => cods += x.Value.cod + " ");
Console.WriteLine("Conjunto frecuente -> Support: " + itemset.countSupport + " Conjunto: " + cods);
}
//Console.ReadLine();
Console.WriteLine("¡Terminó!");
Console.ReadLine();
}
public void setScene0()
{
esperados.Add("BREAD ", 4);
esperados.Add("MILK ", 4);
esperados.Add("DIAPERS ", 4);
esperados.Add("BEER ", 3);
esperados.Add("BREAD MILK ", 3);
esperados.Add("BREAD DIAPERS ", 3);
esperados.Add("MILK DIAPERS ", 3);
esperados.Add("DIAPERS BEER ", 3);
fIGeneration = new FIGeneration(60, true);//min support del 60%
fIGeneration.FrequentItemGeneration(3);
}
public void setScene0()
{
esperados.Add("BREAD ", 4);
esperados.Add("MILK ", 4);
esperados.Add("DIAPERS ", 4);
esperados.Add("BEER ", 3);
esperados.Add("BREAD MILK ", 3);
esperados.Add("BREAD DIAPERS ", 3);
esperados.Add("MILK DIAPERS ", 3);
esperados.Add("DIAPERS BEER ", 3);
fIGeneration = new FIGeneration();//min support del 60%
fIGeneration.minSupport = 0.6;
Data data = new Data(true);
fIGeneration.FrequentItemGeneration(4, data);
}
static void Main(string[] args)
{
//Console.WriteLine();
//Console.ReadLine();
try
{
Console.WriteLine("Ingrese minSupport :");
double minSupport = 0.005;//Convert.ToDouble(Console.ReadLine()) / 100;
Console.WriteLine("Ingrese minConfidence :");
double minConfidence = Convert.ToDouble(Console.ReadLine()) / 100;
Data data = new Data(false);
FIGeneration fIGeneration = new FIGeneration();
fIGeneration.minSupport = minSupport;
RuleGenerator ruleGenerator = new RuleGenerator();
ruleGenerator.minConfidence = minConfidence;
ClustersGenerator clustersGenerator = new ClustersGenerator();
clustersGenerator.minPertencia = 0.60;
data.LoadTransactions();
data.LoadClientes();
Console.WriteLine("--> " + data.transactions.Count);
data.PodarTransacciones(0.003);
Console.WriteLine("--> " + data.transactions.Count);
data.PodarClientes();
Console.WriteLine("Clientes -> " + data.clientes.Count);
data.PodarArticulos();
Console.WriteLine("Items Podados.- " + data.items.Count);
data.PodarItemsPorSupport(minSupport);
fIGeneration.AprioriFrequentItemGeneration(3, data);
List <ItemSet> fi = fIGeneration.candidates.Where(x => x.items.Count > 1).ToList();
List <ItemSet> fiTotales = fIGeneration.candidates.ToList();
Console.WriteLine("Itemsets totales: " + fi.Count);
Console.WriteLine("---------------------------------------- \n Frequents ItemSe Generados... \n Creando Reglas de asociacion ...");
//Generando Reglas
ruleGenerator.GenerarReglas(fi, fIGeneration);
Console.WriteLine(ruleGenerator.associationRules.Count + "++++++++");
foreach (Rule rule in ruleGenerator.associationRules)
{
Console.WriteLine(rule.antecedente.ToStringItems() + " ->" + rule.consecuente.ToStringItems() + " " + rule.confidence);
}
//Generando CLusters
clustersGenerator.GenerarClusters(data.transactions, data.clientes, fi);
/*
* Analyzer analyzer = new Analyzer();
* analyzer.minPertenencia = 0.75;
* analyzer.minPertenencia = 0.75;
* analyzer.minSupport = 0.01;
* analyzer.LoadData();
* analyzer.PodarDatos(0.1/100);
* //analyzer.data.PodarItemsPorSupport(0.1);
*
* analyzer.GenerarFrequentItemSets(2);
* Console.WriteLine(analyzer.fIGeneration.candidates.Count);*/
foreach (ItemSet itemset in fIGeneration.candidates)
{
String cods = "";
itemset.items.ToList().ForEach(x => cods += x.Value.cod + " ");
Console.WriteLine("Conjunto frecuente -> Support: " + itemset.support + " Conjunto: " + cods);
}
// List<ItemSet> fi = fIGeneration.candidates.Where(x => x.items.Count > 1).ToList();
// clustersGenerator.GenerarClusters(data.transactions, data.clientes, fi);
foreach (Cluster c in clustersGenerator.clusters)
{
Console.WriteLine("Cluster: " + c.agrupador.ToStringItems());
foreach (Elemento e in c.elementos)
{
Console.WriteLine("Elemento: " + e.id + " pertenece un " + e.pertenencia + " al cluster");
}
}
Console.WriteLine(" Clusters final " + clustersGenerator.clusters.Count);
Console.WriteLine("Terminó!");
Console.ReadLine();
}
catch (Exception e)
{
Console.WriteLine("Error main: " + e.Message + "\n" + e.StackTrace);
Console.ReadLine();
}
}
