private void setupEscenario4()
{
asso = new AssociationAnalyzerApriori(6, 0.3, 0, 3);
asso.binaryTransactions = new List <BigInteger>
{
39, 60, 8, 56, 56, 56, 35, 42, 51, 27, 54, 63, 1, 32
};
asso.totalNumberOfTransactions = asso.binaryTransactions.Count;
}
private void setupEscenario1()
{
asso = new AssociationAnalyzerApriori(3, 0, 0.35, 0);
asso.binaryTransactions = new List <BigInteger> {
1, 2, 3, 4, 5, 6, 7, 8, 9, 10
};
asso.totalNumberOfTransactions = asso.binaryTransactions.Count;
asso.itemSetToSupport.Add(5, 2);
asso.itemSetToSupport.Add(4, 5);
asso.itemSetToSupport.Add(1, 6);
}
private void setupEscenario3()
{
asso = new AssociationAnalyzerApriori(4, 0.5, 0, 3);
asso.mapFromBinaryPositionToItem = new Dictionary <int, Item>();
asso.mapFromBinaryPositionToItem.Add(0, new Item("120", "Alcohol"));
asso.mapFromBinaryPositionToItem.Add(1, new Item("130", "Manzana"));
asso.mapFromBinaryPositionToItem.Add(2, new Item("200", "Pera"));
asso.mapFromBinaryPositionToItem.Add(3, new Item("300", "Papa"));
asso.binaryTransactions = new List <BigInteger>
{
3, 12, 6, 1, 8, 15, 12, 14, 9, 14
};
asso.totalNumberOfTransactions = asso.binaryTransactions.Count;
}
private void setupEscenario5()
{
asso = new AssociationAnalyzerApriori(4, 0, 0.35, 3);
asso.binaryTransactions = new List <BigInteger>();
for (int i = 0; i < 100; i++)
{
asso.binaryTransactions.Add(i + 1);
}
asso.totalNumberOfTransactions = asso.binaryTransactions.Count;
asso.itemSetToSupport.Add(8, 70);
asso.itemSetToSupport.Add(12, 50);
asso.itemSetToSupport.Add(4, 80);
asso.itemSetToSupport.Add(9, 55);
asso.itemSetToSupport.Add(2, 83);
asso.itemSetToSupport.Add(14, 30);
asso.itemSetToSupport.Add(1, 91);
asso.itemSetToSupport.Add(11, 10);
asso.itemSetToSupport.Add(10, 58);
asso.itemSetToSupport.Add(6, 66);
asso.itemSetToSupport.Add(3, 60);
}
public List <Prediction> GetPredictionsOfCustomer(String customerId, double minSup, double minConfidence)
{
DataManager cusData = GetDataBy(customerId);
AssociationAnalyzerApriori apriori = new AssociationAnalyzerApriori(cusData, 10, minSup, minConfidence, 10);
List <List <BigInteger> > sets = apriori.GenerateFrequentItemSetsApriori();
if (sets.Count == 0)
{
throw new Exception("Insuficientes items frecuentes, disminuya el soporte");
}
apriori.AprioriRuleGeneration(sets);
if (apriori.rules.Count == 0)
{
throw new Exception("Insuficientes reglas, disminuya la confianza");
}
List <Prediction> predictions = new List <Prediction>();
foreach (Tuple <BigInteger, BigInteger> rule in apriori.rules)
{
Prediction pre = new Prediction();
pre.relevance = (apriori.itemSetToSupport[rule.Item1 | rule.Item2] + 0.0) / apriori.totalNumberOfTransactions;
pre.confidence = (apriori.itemSetToSupport[rule.Item2 | rule.Item1] + 0.0) / apriori.itemSetToSupport[rule.Item1];
List <Item> items = apriori.BinaryItemSetToObjectItemSet(rule.Item1);
pre.antecedent = items.ToArray();
items = apriori.BinaryItemSetToObjectItemSet(rule.Item2);
pre.consequent = items.ToArray();
pre.minimumQuantity = new int[pre.consequent.Length];
pre.maximumQuantity = new int[pre.consequent.Length];
for (int i = 0; i < pre.consequent.Length; i++)
{
pre.minimumQuantity[i] = pre.consequent[i].minQuantity;
pre.maximumQuantity[i] = pre.consequent[i].maxQuantity;
}
predictions.Add(pre);
}
return(predictions);
}
//[TestMethod]
public void TestGenerateFIS()
{
DataManager data = new DataManager("../../../DatosTests/Escenario1/");
AssociationAnalyzerApriori alv = new AssociationAnalyzerApriori(data, 3, 0.4, 0.4, 2);
Item[] items = new Item[3];
items[0] = data.mapFromItemCodeToItem["1"];
items[1] = data.mapFromItemCodeToItem["2"];
items[2] = data.mapFromItemCodeToItem["3"];
List <Item[]> resultado = alv.GenerateFrequentItemSets();
//for (int i = 0; i <resultado.Count; i++) {
// for(int j = 0; j<resultado[i].Length; j++)
// {
// Debug.Write(resultado[i][j].ItemCode + ",");
// }
// Debug.WriteLine("");
//}
Item[] freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["1"];
//Debug.WriteLine(freq[0].ItemCode + "," + freq[1].ItemCode);
Assert.AreEqual(freq[0], resultado[0][0]);
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[1][0]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["1"];
freq[1] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[2][0]);
Assert.AreEqual(freq[1], resultado[2][1]);
alv = new AssociationAnalyzerApriori(new DataManager("../../../Datos/Escenario1/"), 4, 0.3, 0.3, 2);
items = new Item[3];
items[0] = data.mapFromItemCodeToItem["1"];
items[1] = data.mapFromItemCodeToItem["2"];
items[2] = data.mapFromItemCodeToItem["3"];
resultado = alv.GenerateFrequentItemSets();
//for (int i = 0; i < resultado.Count; i++)
//{
// for (int j = 0; j < resultado[i].Length; j++)
// {
// Debug.Write(resultado[i][j].ItemCode + ",");
// }
// Debug.WriteLine("");
//}
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[0][0]);
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["1"];
Assert.AreEqual(freq[0], resultado[1][0]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["2"];
freq[1] = data.mapFromItemCodeToItem["1"];
Assert.AreEqual(freq[0], resultado[2][0]);
Assert.AreEqual(freq[1], resultado[2][1]);
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["3"];
Assert.AreEqual(freq[0], resultado[3][0]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["3"];
freq[1] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[4][0]);
Assert.AreEqual(freq[1], resultado[4][1]);
alv = new AssociationAnalyzerApriori(new DataManager("../../../Datos/Escenario2/"), 4, 0.3, 0.3, 2);
items = new Item[4];
items[0] = data.mapFromItemCodeToItem["1"];
items[1] = data.mapFromItemCodeToItem["2"];
items[2] = data.mapFromItemCodeToItem["3"];
items[3] = data.mapFromItemCodeToItem["4"];
resultado = alv.GenerateFrequentItemSets();
//for (int i = 0; i < resultado.Count; i++)
//{
// for (int j = 0; j < resultado[i].Length; j++)
// {
// Debug.Write(resultado[i][j].ItemCode + ",");
// }
// Debug.WriteLine("");
//}
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[0][0]);
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["4"];
Assert.AreEqual(freq[0], resultado[1][0]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["4"];
freq[1] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[2][0]);
Assert.AreEqual(freq[1], resultado[2][1]);
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["3"];
Assert.AreEqual(freq[0], resultado[3][0]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["3"];
freq[1] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[4][0]);
Assert.AreEqual(freq[1], resultado[4][1]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["3"];
freq[1] = data.mapFromItemCodeToItem["4"];
Assert.AreEqual(freq[0], resultado[5][0]);
Assert.AreEqual(freq[1], resultado[5][1]);
freq = new Item[1];
freq[0] = data.mapFromItemCodeToItem["1"];
Assert.AreEqual(freq[0], resultado[6][0]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["1"];
freq[1] = data.mapFromItemCodeToItem["2"];
Assert.AreEqual(freq[0], resultado[7][0]);
Assert.AreEqual(freq[1], resultado[7][1]);
freq = new Item[2];
freq[0] = data.mapFromItemCodeToItem["1"];
freq[1] = data.mapFromItemCodeToItem["3"];
Assert.AreEqual(freq[0], resultado[8][0]);
Assert.AreEqual(freq[1], resultado[8][1]);
}
private void setupEscenario2()
{
asso = new AssociationAnalyzerApriori(6, 0, 0.35, 0);
}
