static void Main(string[] args)
{
var apriori = new Apriori();
var support = 2;
var confidence = 0.8;
var transactions = new[] { "milk~egg~flower", "honey~egg~siroup", "milk~honey~egg~siroup", "honey~siroup", "milk~egg~siroup" };
var items = new List <string> {
"milk", "honey", "egg", "flower", "siroup"
};
//var transactions = new[] { "1~3~4", "2~3~5", "1~2~3~5", "2~5", "1~3~5" };
//var items = new List<string> { "1", "2", "3", "4", "5" };
var transactionsTest = ReadTransactionsFile();
var itemsTest = ReadItemsFile();
var result = apriori.ProcessTransaction(support, confidence, itemsTest, transactionsTest);
WriteRules(result.StrongRules);
WriteFrequent(result.FrequentItems);
WriteClosest(result.ClosedItemSets);
WriteMaximal(result.MaximalItemSets);
Console.WriteLine("Done...");
Console.Read();
}
public void ProcessTransactionTest()
{
//Arrange
IApriori target = new Apriori();
//Act
Output actual = target.ProcessTransaction(_minSupport, _minConfidence, _items, _transactions);
//Assert
Assert.AreEqual(9, actual.FrequentItems.Count);
Assert.AreEqual(2, actual.FrequentItems["a"].Support);
Assert.AreEqual(3, actual.FrequentItems["b"].Support);
Assert.AreEqual(3, actual.FrequentItems["c"].Support);
Assert.AreEqual(3, actual.FrequentItems["e"].Support);
Assert.AreEqual(2, actual.FrequentItems["ac"].Support);
Assert.AreEqual(2, actual.FrequentItems["bc"].Support);
Assert.AreEqual(3, actual.FrequentItems["be"].Support);
Assert.AreEqual(2, actual.FrequentItems["ce"].Support);
Assert.AreEqual(2, actual.FrequentItems["bce"].Support);
Assert.AreEqual(2, actual.MaximalItemSets.Count);
Assert.AreEqual("ac", actual.MaximalItemSets[0]);
Assert.AreEqual("bce", actual.MaximalItemSets[1]);
Assert.AreEqual(5, actual.StrongRules.Count);
}
static void Main(string[] args)
{
Console.WriteLine("Hi, Thank you for choosing AgentNet. \n\n\nGetting latest transaction data from DB...");
InititalizeData();
Console.WriteLine("Following items found :");
Console.WriteLine(string.Join(",", ItemSets));
Console.WriteLine("Number of transactions found : " + TransactionSets.Count);
//Console.WriteLine(string.Join(",", TransactionSets));
Console.Write("Please enter a minimum support (%) :");
string minSupportStr = Console.ReadLine();//"50";//Console.ReadLine();
Console.Write("Please enter a minimum confidence (%) :");
string minConfidenceStr = Console.ReadLine(); //"80";//Console.ReadLine();
double minSupport = double.Parse(minSupportStr) / 100;
double minConfidence = double.Parse(minConfidenceStr) / 100;
string[] transactionArray = TransactionSets.ToArray();
IApriori _apriori = new Apriori();
Output output = _apriori.ProcessTransaction(minSupport, minConfidence, ItemSets, transactionArray);
Console.WriteLine(string.Join("", output.StrongRules.Select(i => i.X + "-->" + i.Y + "\t" + i.Confidence * 100 + "%\n").ToList()));
Console.ReadKey();
}
static void Main(string[] args)
{
string[] items = ReadFromFile("items.txt");
string[] itemsD = null; // ReadFromFile("itemsD.txt");
var transactions = FileReader.FileReader.ReadFromFile("transactions.txt");
IApriori apriori = new Apriori();
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
var result = apriori.ProcessTransaction(0.4, 0.5, items, transactions, itemsD);
stopWatch.Stop();
if (result.ClosedItemSets != null)
{
Console.Write("Closed itemsets:");
foreach (var closedItem in result.ClosedItemSets)
{
Console.Write($"\nKey: {closedItem.Key}\t");
Console.WriteLine($"Values: \t");
foreach (var value in closedItem.Value)
{
Console.Write($"{{ key: {value.Key}, value: {value.Value}}}, ");
}
}
}
Console.WriteLine("Frequent items:");
foreach (var frequentItem in result.FrequentItems)
{
Console.WriteLine($"Name: { string.Join(" ",frequentItem.Names)}, Support: {frequentItem.Support}");
}
if (result.MaximalItemSets != null)
{
Console.WriteLine("Maximall itemsets:");
foreach (var maximalItemSet in result.MaximalItemSets)
{
Console.WriteLine($"{maximalItemSet}");
}
}
Console.WriteLine($"Found {result.StrongRules.Count} strong rules:");
foreach (var strongRule in result.StrongRules)
{
Console.WriteLine($"{{{string.Join(" ", strongRule.X)} -> {string.Join(" ", strongRule.Y)}}}, confidence: {strongRule.Confidence}");
}
Console.WriteLine($"Processing time: {stopWatch.Elapsed}");
Console.WriteLine($"All transactions: {transactions.Length}");
Console.ReadKey();
}
public static void Analyze()
{
var dna = new Apriori();
var output = dna.ProcessTransaction(.1, .1,
new string[] { "a", "b", "c", "d", "e", "f" }.ToList(),
new string[] { "abc", "abcd", "def", "abe", "ab", "abc", "abd" }
);
var jsonString = JsonConvert.SerializeObject(
output, Formatting.Indented,
new JsonConverter[] { new StringEnumConverter() });
Console.WriteLine(jsonString);
Console.ReadKey();
}