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1 2016 3

2

3 Feature View Area Small View Area Overview Area i

4 ii

5 Small View Area Feature View Area Overview Area iii

6 iv

7 [2] Microsoft Excel Ross R 1 1

8 1.3 2

9 2 2.1 Saito Two-Tone Pseudo Coloring[3] 2 Javed Braided graph[4] Shiroi ChronoView[5] 2 Chang WireVis[6] Wang [7] Vrotson ActiviTree[8] Monroe EventFlow[9] 3

10 2.2 North Snap-Together[10] WireVis EventFlow Eick [11] Boukhelife [12] Chevalier Histomages[13] 4

11 Excel

12

13 7

14 : 1( ) 2( ) 07/20 14:00 BATTERY STREET 08/07 13:45 BATTERY APARTMENT 08/14 19:00 BURGLARY CAR WASH 09/20 23:30 OFFENSE RESIDENCE 4.1 BATTERY RESIDENCE 1 e k 1 e = (t, a 1,..., a k ) (4.1) e t(e) e = (t, a 1,..., a k ) t(e) = t E T T (4.2) E T E T = {e E t(e) T } (4.2) t 0 d R 0, R 1,... U U = {R 0, R 1,...} (4.3) R i U i N (4.4) N 0 R i = [t 0 + id, t 0 + (i + 1)d) (4.4) 1 8

15 c = md m 2 (4.5) R i R j i = j (mod m) (4.5) U (4.6) U c = U/ = {[R 0 ], [R 1 ],..., [R m 1 ]} (4.6) ChronoView 2 ([3, 5, 6, 7, 8, 9]) 4.1 E (4.7) f(e) f(e) = E (4.7) 9

16 E (4.8) m f Uc (E) f Uc (E) = (f(e [R0 ]), f(e [R1 ]),..., f(e [Rm 1 ])) (4.8) PR E (4.9) T mode (E) T mode (E) = {R U Q U, f(e R ) f(e Q )} (4.9) (4.10) T mode (E) = {[R] U c [Q] U, f(e [R] ) f(e [Q] )} (4.10) 4.4 ChronoView[5] E (4.11) t mean t mean (E) = t 0 + c 2π tan 1 e E cos 2π c (t(e) t 0) e E sin 2π c (t(e) t (4.11) 0) tan

17 4.5 1 E (4.12) t dev (E) t dev (E) = 1 E (sin 1 sin 2π c (t(e) t mean(e)) ) 2 (4.12) e E 4.6 E (4.13) T freq (E) T freq (E) = {[R] U c f(e [R] ) > f + aσ} (4.13) f σ f Uc a 4.7 E (4.14) l s cyc (E)(l 1 ) s cyc (E) = (s 1 (E), s 2 (E),..., s l (E)) (4.14) s i ic s (i, c s 1 ) f re f im s i (E) = f re (E, ic s ) 2 + f im (E, ic s ) 2 (4.15) f re (E, c) = f im (E, c) = m 1 {f(e [Rj ]) cos(j 2π )} (4.16) c j=0 m 1 {f(e [Rj ]) sin(j 2π )} (4.17) c j=0 11

18 4.8 E 1 E 2 (4.18) t diff (E 1, E 2 ) { t diff (E 1, E 2 ) = t d (E 1, E 2 ) if t d (E 1, E 2 ) c 2 c t d (E 1, E 2 ) otherwise (4.18) t d (E 1, E 2 ) t d (E 1, E 2 ) = t mean (E 1 ) t mean (E 2 ) (4.19) 4.9 E 1 E 2 (4.20) sim(e 1, E 2 ) sim(e 1, E 2 ) = f U c (E 1 ) f Uc (E 2 ) f Uc (E 1 ) f Uc (E 2 ) (4.20) E a i a j k 2 i < j (4.21) n i,j (E, a i, a j ) n i,j (E, a i, a j ) = {(t, x 1,..., x i,..., x j,..., x k ) E x i = a i x j = a j } (4.21) 12

19 5 JavaScript (ECMAScript Edition 5) D3.js : JavaScript 1 SVG jquery : HTML JavaScript jquery UI : jquery JavaScript 3 jquery Material Design Lite : 4 UI csv Safari ( 9.0.2)

20 5.1: 14

21 Feature View Area Small View Area 3 Small View Area Overview Area 5.2 Feature View Area 5.3 Small View Area 5.4 Overview Area

22 5.2 Feature View Area Feature View Area Feature View Area : 16

23 2 1 ( 5.3 b) 2 ( 5.3 c) 5.3: 17

24 : 18

25 5.3 Small View Area Small View Area ( 5.5 ) Small View Area Feature View Area Small View Area 5.5: Small View Area Feature View Area Small View Area

26 5.4 Overview Area Overview Area ( 5.6 ) Overview Area 1 5.6: Overview Area 20

27 Feature View Area Small View Area Overview Area : 21

28 2 ( 5.8) : 22

29 : /9/1-2015/11/30,,

30 4 ( 6.2 a) 10 ( 6.2 b) : ( 6.2) 24

31 3 6.2: a b ( 6.3) VEHICLE( ) FIRE STATION( ) 6.3: 25

32 6.4: 6.4 a (APARTENT PRESIDENCE) 26

33 6.5: ( 6.5 a) 0 ( 6.5 b) 2 27

34 6.6: a NARCOTICS( ) RESIDENCE APARTMENT 6.5 b RESIDENCE APARTMENT BATTERY( ) 6.5 c RESIDENCE APARTMENT OTHER OFFENSE( ) DECEPTIVE PRACTICE( ) RESIDENCE 28

35 VEHICLE FIRE STATION 4. APARTENT PRESIDENCE APARTENT PRESIDENCE BATTERY NARCOTICS 6. APARTENT PRESIDENCE OTHER OFFENCE DECEPTIVE PRACTICE PRESIDENCE 3 5 NARCOTICS 29

36 Small View Area Feature View Area 3 Overview Area 3.3 Overview Area 30

37 31

38 8 3 32

39 Simona Vasilache 33

40 [1] Stanley Smith Stevens, On the Theory of Scales of Measurement, Science, Vol. 103, No. 2684, pp , [2] T. Ishigaki, T. Takenaka, and Y. Motomura, Customer Behavior Prediction System by Large Scale Data Fusion in a Retail Service, Transactions of the Japanese Society for Artificial Intelligence, Vol.26, No.6, pp , [3] T. Saito, H. N. Miyamura, M. Yamamoto, H. Saito, Y. Hoshiya, and T. Kaseda, Two-tone pseudo coloring: compact visualization for one-dimensional data, IEEE Symposium on Information Visualization, pp , [4] W. Javed, Student Member, IEEE, B. McDonnel, Student Member, IEEE, and N. Elmqvist, Member, IEEE, Graphical Perception of Multiple Time Series, IEEE Transactions on Visualization and Computer Graphics, Vol.16, No.6, pp , [5] S. Shiroi, K. Misue, and J. Tanaka, ChronoView: Visualization Technique for Many Temporal Data, Proc. of 16th International Conference on Information Visualisation, pp , [6] R. Chang, M. Ghoniem, R. Kosara, W. Ribarsky, and J. Yang, Aligning Temporal Data by Sentinel Events: Discovering Patterns in Electronic Health Records, Proc. of the SIGCHI Conference on Human Factors, pp , [7] T. D. Wang, C. Plaisant, A. J. Quinn, R. Stanchak, B. Shneiderman, and S. Murphy Wire- Vis: Visualization of Categorical, Time-Varying Data From Financial Transactions, IEEE Symposium on Visual Analytics Science and Technology, pp , [8] K. Vrotsou, J. Johansson, and M. Cooper ActiviTree: Interactive Visual Exploration of Sequences in Event-Based Data Using Graph Similarity, IEEE Transactions on Visualization and Computer Graphics, Vol.15, No.6, pp , [9] M. Monroe, R. Lan, H. Lee, C. Plaisant, and B. Shneiderman, Temporal Event Sequence Simplification, IEEE Transactions on Visualization and Computer Graphics, Vol.19, No.12, pp ,

41 [10] C, North, and B. Shneiderman Snap-Together Visualization: A User Interface for Coordinating Visualizations via Relational Schemata, Proc. of the working conference on Advanced visual interfaces, pp , [11] S. G. Eick, Senior Member, IEEE TVisual Discovery and Analysis, IEEE Transactions on Visualization and Computer Graphics, Vol. 6, No. 1, pp.44-58, [12] N. Boukhelifa, J. C. Roberts, and P. J. Rodgers A Coordination Model for Exploratory Multi- View Visualization, Proc. of International Conference on Coordinated and Multiple Views in Exploratory Visualization, pp , 2003 [13] F. Chevalier, P. Dragicevic, and C. Hurter, Histomages: Fully Synchronized Views for Image Editing, Proc. of the 25th annual ACM symposium on User interface software and technology (UIST 12), pp ,

Lyra 2 2 2 X Y X Y ivis Designer Lyra ivisdesigner Lyra ivisdesigner 2 ( 1 ) ( 2 ) ( 3 ) ( 4 ) ( 5 ) (1) (2) (3) (4) (5) Iv Studio [8] 3 (5) (4) (1) (

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