5 Slides Demo
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Transcript of 5 Slides Demo
Primitives for Time Series Data Mining
▪ Time series motifs
▪ Time series shapelets
▪ Time series join
0 2000 4000 6000 8000 100000
102030
0 100 200 300 400 500 600 700 800
3/27/1996 2/24/1998 1/25/2000 12/25/2001 11/25/2003 10/25/2005 9/25/2007 8/25/2009 7/26/2011 6/26/2013
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-1
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Indian Rupee (INR)Singapore Dollar (SGD)
113 days
Is P within τ?
yes no P
JoinMotif
Shapelet
Phonetic Time Series Mining
▪ Phoneme Classification
▪ Accent Classification
Obstruent
Fricative
S SH
Affricate
CHgasser/G AE S ER/
unattached/AH N AH T AE CH T/
appreciable/AH P R IY SH AH B AH L/
cliched/K L IY SH EY D/
DTW label MFCC labelDual Domain label
Sonorants
Vowel
EY IY
Semi-vowel
DTW label MFCC labelDual Domain label
savagely/S AE V IH JH L IY /
deactivate/D IY AE K T IH V EY T /
valueless/V AE L Y UW L AH S/
philosophically/F IH L AH S AA F IH K L IY /
Mining Heterogeneous Online Reviews
▪ Identifying spamming owners
▪ Combining multi-source information
▪ Analytical tool for hosting sites
Mining Motion Data
▪ Classifying motion category
▪ Invariant to plane and length of motion
0 10 20 30 40 50 60 70-4
-2
0
2
0 10 20 30 40 50 60 70-4
-2
0
2
Walking on Carpet (Soft)
Walking on Cement (Hard)
0 10 20 30 40 50 60 70-4
-2
0
2
4
S1S2
1-NN 69.55%
1-NN DTW 72.55%
1-NN DTW S-C 69.55%
Shapelet (S1) 93.34%
Shapelets (S1 and S2 )
96.34%
x 104
ABC
EF
A AA BCC
DDDDDD EEFF
0 0.5 1 1.5 2 2.5 3
0/20/22/4
0/30/40/2
Hand
Legxyz
xyz
Contextual Change Detection
0 10 20 30 40 50 60 70 80 90 100-20
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-10
-5
0
5
10
15
0 10 20 30 40 50 60 70 80 90 100-20
-15
-10
-5
0
5
0 10 20 30 40 50 60 70 80 90 100-20
-15
-10
-5
0
5
10
15
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Disbanding
Formation
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-15
-10
-5
0
5
0 10 20 30 40 50 60 70 80 90 100
25-May-2007 25-May-2008 25-May-2009 25-May-2010 25-May-2011 25-May-2012
0.05
0.15
0.25
0.35
Contextual Change