diff --git a/mainproject/SFAnalytics/DataBase/Analysis/7zFM.exe b/mainproject/SFAnalytics/DataBase/Analysis/7zFM.exe
new file mode 100644
index 0000000..a2f8e7a
Binary files /dev/null and b/mainproject/SFAnalytics/DataBase/Analysis/7zFM.exe differ
diff --git a/mainproject/SFAnalytics/generatedgrah.gv b/mainproject/SFAnalytics/generatedgrah.gv
new file mode 100644
index 0000000..8997223
--- /dev/null
+++ b/mainproject/SFAnalytics/generatedgrah.gv
@@ -0,0 +1,37 @@
+digraph Tree {
+node [shape=box, style="filled, rounded", color="black", fontname=helvetica] ;
+edge [fontname=helvetica] ;
+0 [label=gini = 0.6667
samples = 150
value = [50, 50, 50]
class = setosa>, fillcolor="#e5813900"] ;
+1 [label=samples = 50
value = [50, 0, 0]
class = setosa>, fillcolor="#e58139ff"] ;
+0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
+2 [label=gini = 0.5
samples = 100
value = [0, 50, 50]
class = versicolor>, fillcolor="#39e58100"] ;
+0 -> 2 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
+3 [label=gini = 0.168
samples = 54
value = [0, 49, 5]
class = versicolor>, fillcolor="#39e581e5"] ;
+2 -> 3 ;
+4 [label=gini = 0.0408
samples = 48
value = [0, 47, 1]
class = versicolor>, fillcolor="#39e581fa"] ;
+3 -> 4 ;
+5 [label=samples = 47
value = [0, 47, 0]
class = versicolor>, fillcolor="#39e581ff"] ;
+4 -> 5 ;
+6 [label=samples = 1
value = [0, 0, 1]
class = virginica>, fillcolor="#8139e5ff"] ;
+4 -> 6 ;
+7 [label=gini = 0.4444
samples = 6
value = [0, 2, 4]
class = virginica>, fillcolor="#8139e57f"] ;
+3 -> 7 ;
+8 [label=samples = 3
value = [0, 0, 3]
class = virginica>, fillcolor="#8139e5ff"] ;
+7 -> 8 ;
+9 [label=gini = 0.4444
samples = 3
value = [0, 2, 1]
class = versicolor>, fillcolor="#39e5817f"] ;
+7 -> 9 ;
+10 [label=samples = 2
value = [0, 2, 0]
class = versicolor>, fillcolor="#39e581ff"] ;
+9 -> 10 ;
+11 [label=samples = 1
value = [0, 0, 1]
class = virginica>, fillcolor="#8139e5ff"] ;
+9 -> 11 ;
+12 [label=gini = 0.0425
samples = 46
value = [0, 1, 45]
class = virginica>, fillcolor="#8139e5f9"] ;
+2 -> 12 ;
+13 [label=gini = 0.4444
samples = 3
value = [0, 1, 2]
class = virginica>, fillcolor="#8139e57f"] ;
+12 -> 13 ;
+14 [label=samples = 1
value = [0, 1, 0]
class = versicolor>, fillcolor="#39e581ff"] ;
+13 -> 14 ;
+15 [label=samples = 2
value = [0, 0, 2]
class = virginica>, fillcolor="#8139e5ff"] ;
+13 -> 15 ;
+16 [label=samples = 43
value = [0, 0, 43]
class = virginica>, fillcolor="#8139e5ff"] ;
+12 -> 16 ;
+}
diff --git a/mainproject/SFAnalytics/migrations/0007_auto_20170829_1215.py b/mainproject/SFAnalytics/migrations/0007_auto_20170829_1215.py
new file mode 100644
index 0000000..959fe08
--- /dev/null
+++ b/mainproject/SFAnalytics/migrations/0007_auto_20170829_1215.py
@@ -0,0 +1,44 @@
+# -*- coding: utf-8 -*-
+# Generated by Django 1.11 on 2017-08-29 15:15
+from __future__ import unicode_literals
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+ dependencies = [
+ ('SFAnalytics', '0006_auto_20170613_1934'),
+ ]
+
+ operations = [
+ migrations.CreateModel(
+ name='DllToEntry',
+ fields=[
+ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+ ('id_dll', models.IntegerField(default=0)),
+ ('id_entry', models.IntegerField(default=0)),
+ ],
+ ),
+ migrations.CreateModel(
+ name='OpcodeToEntry',
+ fields=[
+ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+ ('id_opcode', models.IntegerField(default=0)),
+ ('id_entry', models.IntegerField(default=0)),
+ ],
+ ),
+ migrations.CreateModel(
+ name='StringToEntry',
+ fields=[
+ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+ ('id_string', models.IntegerField(default=0)),
+ ('id_entry', models.IntegerField(default=0)),
+ ],
+ ),
+ migrations.AlterField(
+ model_name='entryfile',
+ name='id',
+ field=models.IntegerField(primary_key=True, serialize=False),
+ ),
+ ]
diff --git a/mainproject/SFAnalytics/test_mining.py b/mainproject/SFAnalytics/test_mining.py
new file mode 100644
index 0000000..89c6f9f
--- /dev/null
+++ b/mainproject/SFAnalytics/test_mining.py
@@ -0,0 +1,26 @@
+from tools import *
+from sklearn.datasets import load_iris
+from sklearn import tree
+import sys
+import numpy as np
+import graphviz
+
+def main():
+ #The secound arg is the outputfile
+ if len(sys.argv) == 2:
+ iris = load_iris()
+ decisionTree = tree.DecisionTreeClassifier()
+ decisionTree = decisionTree.fit(iris.data, iris.target)
+ sample = np.reshape(iris.data[50], (1, -1))
+ dot_data = tree.export_graphviz(decisionTree, out_file=None, feature_names=iris.feature_names, class_names=iris.target_names, filled=True, rounded=True, special_characters=True)
+ graph = graphviz.Source(dot_data)
+ graph.format = 'png'
+ graph.render(sys.argv[1])
+ print('\nGraph generated.\n')
+ a = np.array([[2, 3, 4],[5, 6, 7],[8, 9, 10]])
+ b = np.array([[11, 12, 13]])
+ #stacking arrays
+ np.vstack((a, b))
+
+if __name__ == '__main__':
+ main()