1. Abdullah Mueen 5 Slides Demo

2. Primitives for Time Series Data Mining ▪Time series motifs ▪Time series shapelets ▪Time series join 3/27/19962/24/19981/25/200012/25/200111/25/200310/25/20059/25/20078/25/20097/26/20116/26/2013 -4 -3 -2 0 1 2 3 4 Indian Rupee (INR) Singapore Dollar (SGD) 113 days Is P within τ? yesno P Join Motif Shapelet

3. Phonetic Time Series Mining ▪Phoneme Classification ▪Accent Classification gasser /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 label Dual Domain label DTW label MFCC label Dual 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 /

4. Mining Heterogeneous Online Reviews ▪Identifying spamming owners ▪Combining multi-source information ▪Analytical tool for hosting sites

5. Mining Motion Data ▪Classifying motion category ▪Invariant to plane and length of motion 010203040506070 -4 -2 0 2 010203040506070 -4 -2 0 2 Walking on Carpet (Soft) Walking on Cement (Hard) 010203040506070 -4 -2 0 2 4 S1S1 S2S2 1-NN69.55% 1-NN DTW72.55% 1-NN DTW S-C69.55% Shapelet (S 1 )93.34% Shapelets (S 1 and S 2 )96.34% x 10 4 A B C E F A A A B C C D D D D D D EE F F 00.511.522.53 0/2 2/4 0/3 0/4 0/2 Hand Leg x y z x y z

6. Contextual Change Detection 25-May-200725-May-200825-May-200925-May-201025-May-201125-May-2012 0.05 0.15 0.25 0.35 Contextual Change