The Hong Kong Polytechnic University
Department of Computing
Data Mining and Data Warehousing
Assignment 1
Due: October 3, 2006
Section A: Regular Questions
1.
a)
b)
c)
i)
ii)
iii)
内文分页: [1] [2]
最后编辑: Robin Hoo 编辑于2006/10/04 18:37
Department of Computing
Data Mining and Data Warehousing
Assignment 1
Due: October 3, 2006
Section A: Regular Questions
1.
a)
C1:ITEM SET SUP.
=========================
{DryFruit} 6 20.00%
{Nut} 11 36.67%
{Noodle} 17 56.67%
{Shampoo} 5 16.67%*
{Diaper} 7 23.33%
{Beer} 15 50.00%
{Milk} 11 36.67%
=========================
L1:ITEM SET SUP.
=========================
{DryFruit} 6 20.00%
{Diaper} 7 23.33%
{Milk} 11 36.67%
{Nut} 11 36.67%
{Beer} 15 50.00%
{Noodle} 17 56.67%
=========================
C2:ITEM SET SUP.
================================
{Beer,Diaper} 1 3.33%*
{Beer,DryFruit} 1 3.33%*
{Beer,Milk} 2 6.67%*
{Beer,Noodle} 12 40.00%
{Beer,Nut} 10 33.33%
{Diaper,DryFruit} 5 16.67%*
{Diaper,Milk} 7 23.33%
{Diaper,Noodle} 1 3.33%*
{Diaper,Nut} 1 3.33%*
{DryFruit,Milk} 6 20.00%
{DryFruit,Noodle} 2 6.67%*
{DryFruit,Nut} 1 3.33%*
{Milk,Noodle} 5 16.67%*
{Milk,Nut} 2 6.67%*
{Noodle,Nut} 8 26.67%
================================
L2:ITEM SET SUP.
==============================
{DryFruit,Milk} 6 20.00%
{Diaper,Milk} 7 23.33%
{Noodle,Nut} 8 26.67%
{Beer,Nut} 10 33.33%
{Beer,Noodle} 12 40.00%
==============================
C3:ITEM SET SUP.
===============================
{Beer,Noodle,Nut} 7 23.33%
===============================
L3:ITEM SET SUP.
===============================
{Beer,Noodle,Nut} 7 23.33%
===============================
Seek Rules
LHS RHS Exp Conf(%) Conf (%) Life Supp(%)
===============================================================
1 Beer -> Noodle,Nut 26.67% 46.67% 1.75 23.33%
2 Noodle -> Beer,Nut 33.33% 41.18% 1.24 23.33%
3 Nut -> Beer,Noodle 40.00% 63.64% 1.59 23.33%
4 Beer,Noodle -> Nut 36.67% 58.33% 1.59 23.33%
5 Beer,Nut -> Noodle 56.67% 70.00% 1.24 23.33%*
6 Noodle,Nut -> Beer 50.00% 87.50% 1.75 23.33%*
===============================================================
LHS RHS Exp Conf(%) Conf (%) Life Supp(%)
=============================================================
1 Beer,Nut -> Noodle 56.67% 70.00% 1.24 23.33%*
2 Noodle,Nut -> Beer 50.00% 87.50% 1.75 23.33%*
=============================================================
b)
No interesting items.
c)
i)
=== Run information ===
Scheme: weka.associations.Apriori -I -N 10 -T 0 -C 0.7 -D 0.15 -U 1.0 -M 0.1 -S -1.0 -V
Relation: data2006
Instances: 1080
Attributes: 7
Dry Fruit
Nut
Noodle
Shampoo
Diaper
Beer
Milk
=== Associator model (full training set) ===
Apriori
=======
Minimum support: 0.1 (108 instances)
Minimum metric: 0.7
Number of cycles performed: 6
Generated sets of large itemsets:
Size of set of large itemsets L(1): 7
Large Itemsets L(1):
Dry Fruit=T 391
Nut=T 221
Noodle=T 507
Shampoo=T 250
Diaper=T 182
Beer=T 400
Milk=T 536
Size of set of large itemsets L(2): 6
Large Itemsets L(2):
Dry Fruit=T Noodle=T 247
Dry Fruit=T Milk=T 356
Nut=T Shampoo=T 175
Nut=T Beer=T 220
Noodle=T Milk=T 390
Shampoo=T Beer=T 245
Size of set of large itemsets L(3): 2
Large Itemsets L(3):
Dry Fruit=T Noodle=T Milk=T 212
Nut=T Shampoo=T Beer=T 175
Best rules found:
1. Nut=T Shampoo=T 175 ==> Beer=T 175 conf:(1)
2. Nut=T 221 ==> Beer=T 220 conf:(1)
3. Shampoo=T 250 ==> Beer=T 245 conf:(0.98)
4. Dry Fruit=T 391 ==> Milk=T 356 conf:(0.91)
5. Dry Fruit=T Noodle=T 247 ==> Milk=T 212 conf:(0.86)
6. Nut=T Beer=T 220 ==> Shampoo=T 175 conf:(0.8)
7. Nut=T 221 ==> Shampoo=T Beer=T 175 conf:(0.79)
8. Nut=T 221 ==> Shampoo=T 175 conf:(0.79)
9. Noodle=T 507 ==> Milk=T 390 conf:(0.77)
10. Milk=T 536 ==> Noodle=T 390 conf:(0.73)
ii)
* According to rules 1,2,3,6,7,8 put Nut, Shampoo and Beer closer;
put Nut and Beer together or in packages.
* Put Dry Fruit, Noodle and Milk closer or together according to
rules 4,5,9,10.
iii)
内文分页: [1] [2]
最后编辑: Robin Hoo 编辑于2006/10/04 18:37
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October 2, 2006 @ 22:59, 



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