rules mining analyzis started

rules_mining/decode_output.py

+
+
+rules = []
+with open('output.txt', 'r') as f:
+    for line in f:
+        line = line.replace(' ', '')
+        splitted = line.split('==>')
+        lhs = splitted[0]
+        rhs = splitted[1].split('#')[0]
+        sup = splitted[1].split('#')[1]
+        conf = splitted[1].split('#')[2]
+
+        if lhs in rhs:
+            splitted = rhs.split(lhs)
+            head = splitted[0]
+            tail = splitted[1]
+            #print(tail, head)
+            if tail:
+                rule = lhs + '==>' +tail
+                if rule not in rules:
+                    rules.append(rule)
+                #print(lhs, '==>', tail)
+                #print("-------------------")
+        #else:
+            #print(lhs, '===>', rhs)
+        #print(lhs, rhs, sup, conf)
+
+for r in rules:
+    print(r)

rules_mining/shortSeq.txt

+2 -1 2 -1 3 -1 3 -1 2 -1 2 -1 2 -1 4 -1 4 -1 5 -1 5 -1 5 -1 -2

shortSeq.txt

-2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 3 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 2 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 4 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 5 -1 -2

test_zscore_detector.py

@@ -8,6 +8,9 @@ from detector import OnlineSimulator
 from zscore_detector import ZScoreDetector
 from math import gcd
 
+def myround(x, base=10):
+    return int(base * round(float(x)/base))
+
 #Numerical data
 #df = pd.read_csv('sequences/sequence_2017_11_22-19.55.44.csv')
 df = pd.read_csv('sequences/sequence_2017_11_28-18.07.57.csv')
@@ -33,10 +36,12 @@ print(np.array(stops))
 subseqs = []
 indexes = []
 gcd_ = stops[0]
-first = round(stops[0], -1)
+
+roundTo = 100
+first = myround(stops[0], roundTo)
 for i in np.arange(0, len(stops)-1):
-    s = round(stops[i], -1)
-    e = round(stops[i+1], -1)
+    s = myround(stops[i], roundTo)
+    e = myround(stops[i+1], roundTo)
 
     indexes.append(s-first)
     if i == len(stops)-2: