-
1
-
-
36348945867
-
Visual methods for analyzing time-oriented data
-
DOI 10.1109/TVCG.2007.70415
-
W. Aigner, S. Miksch, W. Müller, H. Schumann, and C. Tominski. Visual methods for analyzing time-oriented data. IEEE Transactions on Visualization and Computer Graphics, 14(1):47-60, 2008. (Pubitemid 350157879)
-
(2008)
IEEE Transactions on Visualization and Computer Graphics
, vol.14
, Issue.1
, pp. 47-60
-
-
Aigner, W.1
Miksch, S.2
Muller, W.3
Schumann, H.4
Tominski, C.5
-
2
-
-
54949105509
-
A tri-space visualization interface for analyzing time-varying multivariate volume data
-
H. Akiba and K.-L. Ma. A tri-space visualization interface for analyzing time-varying multivariate volume data. In EuroVis, pages 115- 122, 2007.
-
(2007)
EuroVis
, pp. 115-122
-
-
Akiba, H.1
Ma, K.-L.2
-
3
-
-
0027453616
-
Model-based Gaussian and non- Gaussian clustering
-
J. D. Banfield and A. E. Raftery. Model-based Gaussian and non- Gaussian clustering. Biometrics, 49(3):803-821, 1993.
-
(1993)
Biometrics
, vol.49
, Issue.3
, pp. 803-821
-
-
Banfield, J.D.1
Raftery, A.E.2
-
6
-
-
0000286376
-
Using dynamic time warping to find patterns in time series
-
D. J. Berndt and J. Clifford. Using dynamic time warping to find patterns in time series. In KDD Workshop, pages 359-370, 1994.
-
(1994)
KDD Workshop
, pp. 359-370
-
-
Berndt, D.J.1
Clifford, J.2
-
7
-
-
79951784092
-
Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery
-
December
-
E. Bertini and D. Lalanne. Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery. SIGKDD Explorations, 11(2):9-18, December 2009.
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.2
, pp. 9-18
-
-
Bertini, E.1
Lalanne, D.2
-
8
-
-
0001626339
-
A classification em algorithm for clustering and two stochastic versions
-
G. Celeux and G. Govaert. A classification em algorithm for clustering and two stochastic versions. Comput. Stat. Data Anal., 14(3):315-332, 1992.
-
(1992)
Comput. Stat. Data Anal.
, vol.14
, Issue.3
, pp. 315-332
-
-
Celeux, G.1
Govaert, G.2
-
9
-
-
67650695660
-
Terascale direct numerical simulations of turbulent combustion using s3d
-
J. H. Chen, A. Choudhary, B. de Supinski, M. DeVries, E. R. Hawkes, S. Klasky, W. K. Liao, K. L. Ma, J. Mellor-Crummey, N. Podhorszki, R. Sankaran, S. Shende, and C. S. Yoo. Terascale direct numerical simulations of turbulent combustion using s3d. Comput. Sci. Disc., 2:015001, 2009.
-
(2009)
Comput. Sci. Disc.
, vol.2
, pp. 015001
-
-
Chen, J.H.1
Choudhary, A.2
De Supinski, B.3
Devries, M.4
Hawkes, E.R.5
Klasky, S.6
Liao, W.K.7
Ma, K.L.8
Mellor-Crummey, J.9
Podhorszki, N.10
Sankaran, R.11
Shende, S.12
Yoo, C.S.13
-
10
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorithm. JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B, 39(1):1-38, 1977.
-
(1977)
JOURNAL of the ROYAL STATISTICAL SOCIETY, SERIES B
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
11
-
-
84867136666
-
Querying and mining of time series data: Experimental comparison of representations and distance measures
-
H. Ding, G. Trajcevski, P. Scheuermann, X. Wang, and E. Keogh. Querying and mining of time series data: experimental comparison of representations and distance measures. Proc. VLDB Endow., 1(2):1542-1552, 2008.
-
(2008)
Proc. VLDB Endow.
, vol.1
, Issue.2
, pp. 1542-1552
-
-
Ding, H.1
Trajcevski, G.2
Scheuermann, P.3
Wang, X.4
Keogh, E.5
-
12
-
-
34547999055
-
Visualization and exploration of time-varying medical image data sets
-
Proceedings - Graphics Interface 2007
-
Z. Fang, T. Möller, G. Hamarneh, and A. Celler. Visualization and exploration of time-varying medical image data sets. In GI '07: Proceedings of Graphics Interface 2007, pages 281-288, New York, NY, USA, 2007. ACM. (Pubitemid 47273864)
-
(2007)
Proceedings - Graphics Interface
, pp. 281-288
-
-
Zhe, F.1
Moller, T.2
Hamarneh, G.3
Celler, A.4
-
13
-
-
0002241694
-
The sem algorithm: A probabilistic teacher algorithm derived from the em algorithm for the mixture problem
-
J. D. G. Celeux. The sem algorithm: a probabilistic teacher algorithm derived from the em algorithm for the mixture problem. Comput. Statist. Quar. 2, pages 73-82, 1985.
-
(1985)
Comput. Statist. Quar.
, vol.2
, pp. 73-82
-
-
Celeux, J.D.G.1
-
14
-
-
0002689560
-
Trajectory clustering with mixtures of regression models
-
New York, NY, USA
-
S. Gaffney and P. Smyth. Trajectory clustering with mixtures of regression models. In KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 63-72, New York, NY, USA, 1999.
-
(1999)
KDD ' 99: Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 63-72
-
-
Gaffney, S.1
Smyth, P.2
-
15
-
-
34547885285
-
Joint probabilistic curve clustering and alignment
-
S. Gaffney and P. Smyth. Joint probabilistic curve clustering and alignment. In NIPS, 2004.
-
(2004)
NIPS
-
-
Gaffney, S.1
Smyth, P.2
-
16
-
-
35448952856
-
Probabilistic clustering of extratropical cyclones using regression mixture models
-
S. J. Gaffney, A.W. Robertson, P. Smyth, S. J. Camargo, and M. Ghil. Probabilistic clustering of extratropical cyclones using regression mixture models. Technical report, Climate Dynamics, 2006.
-
(2006)
Technical Report Climate Dynamics
-
-
Gaffney, S.J.1
Robertson, A.W.2
Smyth, P.3
Camargo, S.J.4
Ghil, M.5
-
17
-
-
0003585297
-
-
Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
-
J. Han. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2005.
-
(2005)
Data Mining: Concepts and Techniques.
-
-
Han, J.1
-
20
-
-
79955698611
-
Visual analytics: How much visualization and how much analytics?
-
December
-
D. A. Keim, F. Mansmann, and J. Thomas. Visual analytics: How much visualization and how much analytics? SIGKDD Explorations, 11(2):5-8, December 2009.
-
(2009)
SIGKDD Explorations
, vol.11
, Issue.2
, pp. 5-8
-
-
Keim, D.A.1
Mansmann, F.2
Thomas, J.3
-
22
-
-
33749537229
-
Interactive visual analysis of families of function graphs
-
DOI 10.1109/TVCG.2006.99, 1703360
-
Z. Konyha, K. Matkovic, D. Gracanin, M. Jelovic, and H. Hauser. Interactive visual analysis of families of function graphs. IEEE Transactions on Visualization and Computer Graphics, 12(6):1373-1385, 2006. (Pubitemid 44523083)
-
(2006)
IEEE Transactions on Visualization and Computer Graphics
, vol.12
, Issue.6
, pp. 1373-1385
-
-
Konyha, Z.1
Matkovic, K.2
Gracanin, D.3
Jelovic, M.4
Hauser, H.5
-
23
-
-
0004168443
-
-
Cambridge: University Press, Cambridge
-
S. H. Lamb. Hydrodynamics (6th ed.). Cambridge University Press, Cambridge, 1994.
-
(1994)
Hydrodynamics (6th Ed.)
-
-
Lamb, S.H.1
-
24
-
-
77957889514
-
Visualization and exploration of temporal trend relationships in multivariate time-varying data
-
T.-Y. Lee and H.-W. Shen. Visualization and exploration of temporal trend relationships in multivariate time-varying data. IEEE Transactions on Visualization and Computer Graphics, 15(6):1359-1366, 2009.
-
(2009)
IEEE Transactions on Visualization and Computer Graphics
, vol.15
, Issue.6
, pp. 1359-1366
-
-
Lee, T.-Y.1
Shen, H.-W.2
-
25
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
University of California Press
-
J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281-297. University of California Press, 1967.
-
(1967)
Proc. of the Fifth Berkeley Symposium on Mathematical Statistics and Probability
, vol.1
, pp. 281-297
-
-
MacQueen, J.B.1
-
26
-
-
53149128029
-
A four-level focus+context approach to interactive visual analysis of temporal features in large scientific data
-
P. Muigg, J. Kehrer, S. Oeltze, H. Piringer, H. Doleisch, B. Preim, and H. Hauser. A four-level focus+context approach to interactive visual analysis of temporal features in large scientific data. Comput. Graph. Forum, 27(3):775-782, 2008.
-
(2008)
Comput. Graph. Forum
, vol.27
, Issue.3
, pp. 775-782
-
-
Muigg, P.1
Kehrer, J.2
Oeltze, S.3
Piringer, H.4
Doleisch, H.5
Preim, B.6
Hauser, H.7
-
27
-
-
48749140650
-
Laminar diffusion flamelet models in non-premixed turbulent combustion
-
N. Peters. Laminar diffusion flamelet models in non-premixed turbulent combustion. Progress in Energy and Combustion Science, 10:319-339, 1984.
-
(1984)
Progress in Energy and Combustion Science
, vol.10
, pp. 319-339
-
-
Peters, N.1
-
28
-
-
65249188734
-
Visual cluster analysis of trajectory data with interactive kohonen maps
-
T. Schreck, J. Bernard, T. Von Landesberger, and J. Kohlhammer. Visual cluster analysis of trajectory data with interactive kohonen maps. Information Visualization, 8(1):14-29, 2009.
-
(2009)
Information Visualization
, vol.8
, Issue.1
, pp. 14-29
-
-
Schreck, T.1
Bernard, J.2
Von Landesberger, T.3
Kohlhammer, J.4
-
29
-
-
0001942153
-
Model selection for probabilistic clustering using crossvalidated likelihood
-
P. Smyth. Model selection for probabilistic clustering using crossvalidated likelihood. Statistics and Computing, 10(1):63-72, 2000.
-
(2000)
Statistics and Computing
, vol.10
, Issue.1
, pp. 63-72
-
-
Smyth, P.1
-
30
-
-
0033280863
-
Cluster and calendar based visualization of time series data
-
Washington, DC, USA. IEEE Computer Society
-
J. J. VanWijk and E. R. Van Selow. Cluster and calendar based visualization of time series data. In INFOVIS '99: Proceedings of the 1999 IEEE Symposium on Information Visualization, page 4, Washington, DC, USA, 1999. IEEE Computer Society.
-
(1999)
INFOVIS ' 99: Proceedings of the 1999 IEEE Symposium on Information Visualization
, pp. 4
-
-
Van Wijk, J.J.1
Van Selow, E.R.2
-
31
-
-
24044470614
-
Clustering of time series data - A survey
-
DOI 10.1016/j.patcog.2005.01.025, PII S0031320305001305
-
T. Warren Liao. Clustering of time series data-a survey. Pattern Recogn., 38(11):1857-1874, 2005. (Pubitemid 41214630)
-
(2005)
Pattern Recognition
, vol.38
, Issue.11
, pp. 1857-1874
-
-
Warren Liao, T.1
-
32
-
-
68549120990
-
Semi-automatic time-series transfer functions via temporal clustering and sequencing
-
J. Woodring and H.-W. Shen. Semi-automatic time-series transfer functions via temporal clustering and sequencing. Comput. Graph. Forum, 28(3):791-798, 2009.
-
(2009)
Comput. Graph. Forum
, vol.28
, Issue.3
, pp. 791-798
-
-
Woodring, J.1
Shen, H.-W.2
-
33
-
-
2642570831
-
Time series clustering with ARMA mixtures
-
DOI 10.1016/j.patcog.2003.12.018, PII S0031320304000585
-
Y. Xiong and D.-Y. Yeung. Time series clustering with arma mixtures. Pattern Recognition, 37(8):1675-1689, 2004. (Pubitemid 38728581)
-
(2004)
Pattern Recognition
, vol.37
, Issue.8
, pp. 1675-1689
-
-
Xiong, Y.1
Yeung, D.-Y.2
-
34
-
-
0036434049
-
Lagrangian investigations of turbulence
-
DOI 10.1146/annurev.fluid.34.082101.170725
-
P. Yeung. Lagrangian investigations of turbulence. Annual Review Of Fluid Mechanics, 34:115-142, 2002. (Pubitemid 35372020)
-
(2002)
Annual Review of Fluid Mechanics
, vol.34
, pp. 115-142
-
-
Yeung, P.K.1
|