def do_experiment_data_size():
data_name = 'unixData8_pro.txt'
x_name = "Data_Size"
data_num = 980
step = data_num / 5 # #################################################################
all_time = []
x_value = []
for k in range(5):
minSup = data_num * 0.010
dataSetDict, dataSet = loadDblpData(("dataSet/" + data_name), ' ',
data_num)
x_value.append(
data_num
) # #################################################################
if data_num < 0: # #################################################################
break
time_fp = 0
time_et = 0
time_ap = 0
freqItems_fp = {}
freqItems_eclat = {}
freqItems_ap = {}
for i in range(2):
ticks0 = time.time()
freqItems_fp = test_fp_growth(minSup, dataSetDict, dataSet)
time_fp += time.time() - ticks0
ticks0 = time.time()
freqItems_eclat = test_eclat(minSup, dataSetDict, dataSet)
time_et += time.time() - ticks0
ticks0 = time.time()
freqItems_ap = test_apriori(minSup, dataSetDict, dataSet)
time_ap += time.time() - ticks0
print("minSup :", minSup, " data_num :", data_num, \
" freqItems_fp:", " freqItems_eclat:", len(freqItems_eclat), " freqItems_ap:", len(
freqItems_ap))
print("fp_growth:", time_fp / 10, " eclat:", time_et / 10,
" apriori:", time_ap / 10)
# print_freqItems("show", freqItems_eclat)
data_num -= step # #################################################################
use_time = [time_fp / 10, time_et / 10, time_ap / 10]
all_time.append(use_time)
# print use_time
y_value = []
for i in range(len(all_time[0])):
tmp = []
for j in range(len(all_time)):
tmp.append(all_time[j][i])
y_value.append(tmp)
return x_value, y_value
def do_experiment_min_support():
data_name = 'unixData8_pro.txt'
x_name = "Min_Support"
data_num = 980
minSup = data_num / 6
dataSetDict, dataSet = loadDblpData(("dataSet/" + data_name), ',',
data_num)
step = minSup / 5 # #################################################################
all_time = []
x_value = []
for k in range(5):
x_value.append(
minSup
) # #################################################################
if minSup < 0: # #################################################################
break
time_fp = 0
time_et = 0
time_ap = 0
freqItems_fp = {}
freqItems_eclat = {}
freqItems_ap = {}
for i in range(10):
ticks0 = time.time()
freqItems_fp = test_fp_growth(minSup, dataSetDict, dataSet)
time_fp += time.time() - ticks0
ticks0 = time.time()
freqItems_eclat = test_eclat(minSup, dataSetDict, dataSet)
time_et += time.time() - ticks0
ticks0 = time.time()
freqItems_ap = test_apriori(minSup, dataSetDict, dataSet)
time_ap += time.time() - ticks0
print("minSup :", minSup, " data_num :", data_num, \
" freqItems_eclat:", len(freqItems_eclat))
print("[time spend] fp_growth:", time_fp / 10, " eclat:",
time_et / 10, " apriori:", time_ap / 10)
# print_freqItems("show", freqItems_eclat)
minSup -= step # #################################################################
use_time = [time_fp / 10, time_et / 10, time_ap / 10]
all_time.append(use_time)
# print use_time
y_value = []
for i in range(len(all_time[0])):
tmp = []
for j in range(len(all_time)):
tmp.append(all_time[j][i])
y_value.append(tmp)
return x_value, y_value
def do_dblp_data():
data_name = 'dblpDataAll.txt'
x_name = "Min_Support"
data_num = 980
minSup = 100
dataSetDict, dataSet = loadDblpData(("dataSet/" + data_name), ',', data_num)
time_fp = 0
ticks0 = time.time()
freqItems_fp = test_eclat(minSup, dataSetDict, dataSet)
time_fp += time.time() - ticks0
print(time_fp)
for item in freqItems_fp:
print(item)
def do_test():
dataSetDict, dataSet = loadDblpData(("dataSet/connectPro.txt"), ',', 100)
minSup = 101
# for item in freq_items:
# print item
# freqItems = test_fp_growth(minSup, dataSetDict, dataSet)
# print_freqItems("show", freqItems)
#
freqItems = test_eclat(minSup, dataSetDict, dataSet)
# print_freqItems("show", freqItems)
freqItems_eclat = test_eclat(minSup, dataSetDict, dataSet)
# freqItems_ap = test_apriori(minSup, dataSetDict, dataSet)
# print_freqItems("show", freqItems_ap)
print(len(freqItems_eclat))
