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1
MINING FREQUENT TRAJECTORY PATTERNS IN SPATIAL-TEMPORAL DATABASES
Anthony J.T. Lee, Yi-an Chen, Weng-Chong Ip
Department of Information Management, National Taiwan University, No. 1,section 4, Roosevelt Road, Taipei 10617, Taiwan, ROC
Information Science 179(2009) 2218-2231
2
Data mining
Apriori Sequence TrajectoryTID Itemset
1 〈 a(bc)d〉2 〈 (ad)ca〉3 〈 (ab)cb〉
TID Itemset
1 (1, 2), (2, 2), (3, 1)
2 (1, 1), (1, 2), (2, 3)
3 (1, 1), (1, 2), (1, 3)
3
TID Itemset
1 〈 a(bc)d〉2 〈 (ad)ca〉3 〈 (ab)cb〉
生態候鳥遷徙的路徑分析、了解習性、保護
交通車子最常走的路徑提供資訊
4
軌跡
TID Itemset
1 (1, 2), (2, 2), (3, 1)
2 (1, 1), (1, 2), (2, 3)
3 (1, 1), (1, 2), (1, 3)
5
GBM ( graph-based mining ) Graph database
(x, y, t) Max time span
TID Trajectory
1 (1,1,1), (1,2,2), (2,2,3), (2,3,5), (3,4,6), (3,5,8)
2 (1,3,2), (1,2,4), (2,2,5), (2,3,7), (3,4,8), (3,5,10)
3 (1,3,3), (1,2,4), (2,2,7), (2,3,10), (3,4,13), (2,5,15), (1,5,16)
4 (2,1,1), (2,2,4), (2,3,7), (3,4,10), (2,5,12)
5 (1,1,5), (1,2,6), (2,2,7), (2,3,9), (3,4,10), (3,5,12)
6 (2,1,4), (2,2,5), (2,3,8), (3,4,11), (2,5,13), (1,5,14)
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7
Representaion
Trajectory pattern : <(1,1)2(2,2)2(2,3)>
(1, 1, 3)
(2, 2, 5)
(2, 3, 7 )
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Graph-based mining (GBM) Scan database TI-list
Min-sup =50 % ; max time span = 3 ; 55
TID Trajectory
1 (1,1,1), (1,2,2), (2,2,3), (2,3,5), (3,4,6), (3,5,8)
2 (1,3,2), (1,2,4), (2,2,5), (2,3,7), (3,4,8), (3,5,10)
3 (1,3,3), (1,2,4), (2,2,7), (2,3,10), (3,4,13), (2,5,15), (1,5,16)
4 (2,1,1), (2,2,4), (2,3,7), (3,4,10), (2,5,12)
5 (1,1,5), (1,2,6), (2,2,7), (2,3,9), (3,4,10), (3,5,12)
6 (2,1,4), (2,2,5), (2,3,8), (3,4,11), (2,5,13), (1,5,14)
9
(T1,1) (T5,5)
(T1,2)
(T2,4)
(T3,4)
(T5,6)
(T2,2) (T3,3)
(T3,16)
(T4,14)
(T4,1) (T5,4)
(T3,15)
(T4,12)
(T6,13)
(T1,8)
(T2,10)
(T5,12)
(1,1)
(1,2)
(1,3)
(1,5)
(2,1)
(2,2)
(2,3)
(2,5)
(3,4)
(3,5)
(T1,3)
(T2,5)
(T3,7)
(T4,4)
(T5,7)
(T6,5)
(T1,5)
(T2,7)
(T3,10)
(T4,7)
(T5,9)
(T6,8)
(T1,6)
(T2,8)
(T3,13)
(T4,10)
(T5,10)
(T6,11)
TID Trajectory
1 (1,1,1), (1,2,2), (2,2,3), (2,3,5), (3,4,6), (3,5,8)
2 (1,3,2), (1,2,4), (2,2,5), (2,3,7), (3,4,8), (3,5,10)
3 (1,3,3), (1,2,4), (2,2,7), (2,3,10), (3,4,13), (2,5,15), (1,5,16)
4 (2,1,1), (2,2,4), (2,3,7), (3,4,10), (2,5,12)
5 (1,1,5), (1,2,6), (2,2,7), (2,3,9), (3,4,10), (3,5,12)
6 (2,1,4), (2,2,5), (2,3,8), (3,4,11), (2,5,13), (1,5,14)
10
(1,2)
11
(T1,2)
(T2,4)
(T3,4)
(T5,6)
(T3,15)
(T4,12)
(T6,13)
(T1,8)
(T2,10)
(T5,12)
(1,2)
(2,2)
(2,3)
(2,5)
(3,4)
(3,5)
(T1,3)
(T2,5)
(T3,7)
(T4,4)
(T5,7)
(T6,5)
(T1,5)
(T2,7)
(T3,10)
(T4,7)
(T5,9)
(T6,8)
(T1,6)
(T2,8)
(T3,13)
(T4,10)
(T5,10)
(T6,11)
(1,2)1(2,2)
12
(1,2)(1,2)1(2,2)
13
(T1,2)
(T2,4)
(T3,4)
(T5,6)
(T3,15)
(T4,12)
(T6,13)
(T1,8)
(T2,10)
(T5,12)
(1,2)
(2,2)
(2,3)
(2,5)
(3,4)
(3,5)
(T1,3)
(T2,5)
(T3,7)
(T4,4)
(T5,7)
(T6,5)
(T1,5)
(T2,7)
(T3,10)
(T4,7)
(T5,9)
(T6,8)
(T1,6)
(T2,8)
(T3,13)
(T4,10)
(T5,10)
(T6,11)
(1,2)1(2,2)2(2,3)
14
(1,2)(1,2)1(2,2)(1,2)1(2,2)2(2,
3)
15
(T1,2)
(T2,4)
(T3,4)
(T5,6)
(T3,15)
(T4,12)
(T6,13)
(T1,8)
(T2,10)
(T5,12)
(1,2)
(2,2)
(2,3)
(2,5)
(3,4)
(3,5)
(T1,3)
(T2,5)
(T3,7)
(T4,4)
(T5,7)
(T6,5)
(T1,5)
(T2,7)
(T3,10)
(T4,7)
(T5,9)
(T6,8)
(T1,6)
(T2,8)
(T3,13)
(T4,10)
(T5,10)
(T6,11)
(1,2)1(2,2)2(2,3)1(3,4)
16
(1,2)(1,2)1(2,2)(1,2)1(2,2)2(2
,3)(1,2)1(2,2)2(2,3)1(3,4)
17
(T1,2)
(T2,4)
(T3,4)
(T5,6)
(T3,15)
(T4,12)
(T6,13)
(T1,8)
(T2,10)
(T5,12)
(1,2)
(2,2)
(2,3)
(2,5)
(3,4)
(3,5)
(T1,3)
(T2,5)
(T3,7)
(T4,4)
(T5,7)
(T6,5)
(T1,5)
(T2,7)
(T3,10)
(T4,7)
(T5,9)
(T6,8)
(T1,6)
(T2,8)
(T3,13)
(T4,10)
(T5,10)
(T6,11)
(1,2)1(2,2)2(2,3)1(3,4)2(3,5)
18
(1,2)(1,2)1(2,2)(1,2)1(2,2)2(2,
3)(1,2)1(2,2)2(2,3)1(3,4)(1,2)1(2,2)2(2,3)1(3,4)2(
3,5)
19
<(1,2)>, <(2,2)>, <(2,3)>, <(3,4)>, <(2,5)>, <(3,5)>,<(1,2)1(2,2)>, <(2,2)2(2,3)>, <(2,2)3(2,3)>, <(2,3)1(3,4)>, <(2,3)3(3,4)>, <(3,4)1(3,5)>, <(3,4)2(2,5)>, <(1,2)1(2,2)2(2,3)>, <(2,2)2(2,3)1(3,4)>, <(2,2)3(2,3)3(3,4)>, <(2,3)1(3,4)2(3,5)>, <(2,3)3(3,4)2(2,5)>, <(1,2)1(2,2)2(2,3)1(3,4)>, <(2,2)3(2,3)3(3,4)2(2,5)>, <(2,2)2(2,3)1(3,4)2(3,5)>, <(1,2)1(2,2)2(2,3)1(3,4)2(3,5)>
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