public IEnumerable <AssociationRule <ChessGame> > Mine(Double relativeMinsup, Double minconf, IEnumerable <IFact <ChessGame> > projectionFacts = null, IEnumerable <IFact <ChessGame> > targetFacts = null)
{
//Fact Generators
var openingFactsGenerator = new OpeningsFactsGenerator();
var simpleFactsGenerator = new SimpleFactsGenerator();
var timeControlFactsGenerator = new TimeControlFactsGenerator(new TimeControlCategoriser());
var takesFirstFactGenerator = new TakesFirstFactGenerator();
var candidateGenerator = new SelfJoinAndPruneGenerator <ChessGame>();
var factGenerators = new List <IFactsGenerator <ChessGame> >()
{
simpleFactsGenerator, openingFactsGenerator, timeControlFactsGenerator, takesFirstFactGenerator
};
var apriori = new Apriori <ChessGame>(candidateGenerator, factGenerators);
var filterer = new ThresholdFilterer <ChessGame>();
var candidateRuleGenerator = new CandidateRuleGenerator <ChessGame>();
var database = new Database <ChessGame>(games.ToList());
var ruleGenerator = new AssociationRuleGenerator <ChessGame>(database, apriori, candidateRuleGenerator, filterer);
return(ruleGenerator.Generate(relativeMinsup, minconf, projectionFacts, targetFacts));
}
static void Main(string[] args)
{
List <ChessGame> result;
var serializer = new JsonSerializer();
using (var re = File.OpenText("rated.json"))
using (var reader = new JsonTextReader(re))
{
result = serializer.Deserialize <List <ChessGame> >(reader);
}
var database = new Database <ChessGame>(result);
var projectedFact1 = new OpeningFact("Gambit");
//var projectedFact2 = new SimpleFact("White", "tailuge");
var projectedFacts = new List <IFact <ChessGame> >()
{
projectedFact1
};
var targetFact = new SimpleFact("Result", "1-0");
var targetFacts = new List <IFact <ChessGame> >()
{
targetFact
};
//Fact Generators
var openingFactsGenerator = new OpeningsFactsGenerator();
var simpleFactsGenerator = new SimpleFactsGenerator();
var timeControlFactsGenerator = new TimeControlFactsGenerator(new TimeControlCategoriser());
var takesFirstFactGenerator = new TakesFirstFactGenerator();
var candidateGenerator = new SelfJoinAndPruneGenerator <ChessGame>();
var factGenerators = new List <IFactsGenerator <ChessGame> >()
{
simpleFactsGenerator, openingFactsGenerator, timeControlFactsGenerator, takesFirstFactGenerator
};
var apriori = new Apriori <ChessGame>(candidateGenerator, factGenerators);
var filterer = new ThresholdFilterer <ChessGame>();
var candidateRuleGenerator = new CandidateRuleGenerator <ChessGame>();
var ruleGenerator = new AssociationRuleGenerator <ChessGame>(database, apriori, candidateRuleGenerator, filterer);
//When
var minsup = 0.01;
var minconf = 0.1;
var rules = ruleGenerator.Generate(minsup, minconf, projectedFacts, targetFacts);
var i = 1;
using (System.IO.StreamWriter file = new System.IO.StreamWriter(@"C:\tferguson\Documents\Visual Studio 2013\Projects\PatternDiscoveryInDataMining\Week1\chessAssociationRules.txt"))
{
file.WriteLine("Minsup: " + minsup + ", " + "Minconf: " + minconf);
file.WriteLine("For games where " + projectedFacts[0] + ", ");
file.WriteLine("there are " + rules.Count + " strong association rules \n");
foreach (var rule in rules)
{
file.Write(i + ". ");
file.WriteLine(rule);
i++;
}
}
System.Console.WriteLine("Done!");
System.Console.ReadLine();
}
