public List <PatternMiningCoordinates> RetrieveCentroidsList(
Dictionary <PatternRule, List <PatternMiningCoordinates> > rulesToCentroids,
PatternRule rule)
{
List <PatternMiningCoordinates> centroids;
if (!rulesToCentroids.TryGetValue(rule, out centroids))
{
centroids = new List <PatternMiningCoordinates>();
rulesToCentroids[rule] = centroids;
}
return(centroids);
}
private PatternRule DetermineRuleToDelete(PatternRule rule1, PatternRule rule2)
{
if (rule1.Atoms.Count > rule2.Atoms.Count)
{
return(rule2);
}
else if (rule1.Atoms.Count == rule2.Atoms.Count)
{
var rule1AtomsLength = 0;
rule1.Atoms.ForEach(a => rule1AtomsLength += a.Substring.Length);
var rule2AtomsLength = 0;
rule2.Atoms.ForEach(a => rule2AtomsLength += a.Substring.Length);
if (rule1AtomsLength > rule2AtomsLength)
{
return(rule2);
}
if (rule1AtomsLength == rule2AtomsLength)
{
var rule1RTLCount = 0;
rule1.Atoms.ForEach(a => rule1RTLCount += a.IndexType == IndexType.RTL ? 1 : 0);
var rule2RTLCount = 0;
rule2.Atoms.ForEach(a => rule2RTLCount += a.IndexType == IndexType.RTL ? 1 : 0);
if (rule1RTLCount >= rule2RTLCount)
{
return(rule2);
}
return(rule1);
}
else
{
return(rule1);
}
}
else
{
return(rule1);
}
}
private ClassificationResult PickBestByPattern(string hostname, List <ClassificationResult> results)
{
var splitResults = HostnameSplitter.Split(hostname);
if (splitResults == null || splitResults.DomainInfo?.RegistrableDomain == null || splitResults.SubdomainParts == null || splitResults.SubdomainParts.Count == 0)
{
return(null);
}
var domain = splitResults.DomainInfo.RegistrableDomain;
Dictionary <PatternRule, PatternMiningCoordinates> rulesToCoordinates;
if (!this.reducedRules.TryGetValue(domain, out rulesToCoordinates))
{
return(null);
}
var subdomainParts = splitResults.SubdomainParts;
if (subdomainParts == null || subdomainParts.Count == 0)
{
return(null);
}
var ruleAtoms = this.miner.CreateRuleAtoms(subdomainParts);
if (ruleAtoms == null || ruleAtoms.Count == 0)
{
return(null);
}
var rules = this.miner.GeneratePossibleRules(ruleAtoms);
if (rules == null || rules.Count == 0)
{
return(null);
}
var filteredRulesToCoordinates = new Dictionary <PatternRule, PatternMiningCoordinates>();
foreach (var rule in rules)
{
PatternMiningCoordinates coordinates;
if (rulesToCoordinates.TryGetValue(rule, out coordinates))
{
filteredRulesToCoordinates[rule] = coordinates;
}
}
ClassificationResult closestResult = null;
double smallestDistanceKm = int.MaxValue;
PatternRule bestRule = null;
foreach (var result in results)
{
if (result.City != null)
{
foreach (var entry in filteredRulesToCoordinates)
{
var rule = entry.Key;
var coordinates = entry.Value;
var distance = DistanceHelper.Distance(result.City.Latitude, result.City.Longitude, coordinates.Latitude, coordinates.Longitude, DistanceUnit.Kilometer);
if (distance < smallestDistanceKm)
{
closestResult = result;
smallestDistanceKm = distance;
bestRule = rule;
}
}
}
}
if (closestResult != null && smallestDistanceKm <= this.distanceThresholdKm)
{
return(closestResult);
}
return(null);
}