-
1
-
-
79953799810
-
A temporal abstraction framework for classifying clinical temporal data
-
I. Batal, L. Sacchi, R. Bellazzi, and M. Hauskrecht. A temporal abstraction framework for classifying clinical temporal data. In AMIA, pages 29-33, 2009.
-
(2009)
AMIA
, pp. 29-33
-
-
Batal, I.1
Sacchi, L.2
Bellazzi, R.3
Hauskrecht, M.4
-
3
-
-
38149095674
-
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
-
B. Cao, D. Shen, J.-T. Sun, X. Wang, Q. Yang, and Z. Chen. Detect and Track Latent Factors with Online Nonnegative Matrix Factorization. In Proceedings of the 20th IJCAI, pages 2689-2694, 2007.
-
(2007)
Proceedings of the 20th IJCAI
, pp. 2689-2694
-
-
Cao, B.1
Shen, D.2
Sun, J.-T.3
Wang, X.4
Yang, Q.5
Chen, Z.6
-
4
-
-
33947593207
-
Video Segmentation via Temporal Pattern Classification
-
M. Cooper, T. Liu, and E. Rieffel. Video Segmentation via Temporal Pattern Classification. IEEE TMM, 9(3):610-618, 2007.
-
(2007)
IEEE TMM
, vol.9
, Issue.3
, pp. 610-618
-
-
Cooper, M.1
Liu, T.2
Rieffel, E.3
-
5
-
-
34248393105
-
First-order temporal pattern mining with regular expression constraints
-
S. de Amo and D. A. Furtado. First-order temporal pattern mining with regular expression constraints. Data & Knowledge Engineering, 62(3):401-420, 2007.
-
(2007)
Data & Knowledge Engineering
, vol.62
, Issue.3
, pp. 401-420
-
-
De Amo, S.1
Furtado, D.A.2
-
6
-
-
70350630561
-
Migration motif: A spatial - Temporal pattern mining approach for financial markets
-
X. Du, R. Jin, L. Ding, V. E. Lee, and J. H. T. Jr. Migration motif: a spatial - temporal pattern mining approach for financial markets. In KDD, pages 1135-1144, 2009.
-
(2009)
KDD
, pp. 1135-1144
-
-
Du, X.1
Jin, R.2
Ding, L.3
Lee, V.E.4
T Jr., J.H.5
-
7
-
-
10944227316
-
Sparse coding and nmf
-
J. Eggert and E. Körner. Sparse coding and nmf. In IJCNN, pages 2529-2533, 2004.
-
(2004)
IJCNN
, pp. 2529-2533
-
-
Eggert, J.1
Körner, E.2
-
8
-
-
39049124290
-
A Visual Interface for Multivariate Temporal Data: Finding Patterns of Events across Multiple Histories
-
J. Fails, A. Karlson, L. Shahamat, and B. Shneiderman. A Visual Interface for Multivariate Temporal Data: Finding Patterns of Events across Multiple Histories. In Visual Analytics Science And Technology, 2006 IEEE Symposium On, pages 167-174, 2006.
-
(2006)
Visual Analytics Science and Technology, 2006 IEEE Symposium on
, pp. 167-174
-
-
Fails, J.1
Karlson, A.2
Shahamat, L.3
Shneiderman, B.4
-
10
-
-
80053205731
-
Shift-invariant Sparse Coding for Audio Classification
-
R. Grosse, R. Raina, H. Kwong, and A. Y. Ng. Shift-invariant Sparse Coding for Audio Classification. In UAI, 2007.
-
(2007)
UAI
-
-
Grosse, R.1
Raina, R.2
Kwong, H.3
Ng, A.Y.4
-
11
-
-
2442449952
-
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
-
J. Han, J. Pei, Y. Yin, and R. Mao. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. DMKD, 8(1):53-87, 2004.
-
(2004)
DMKD
, vol.8
, Issue.1
, pp. 53-87
-
-
Han, J.1
Pei, J.2
Yin, Y.3
Mao, R.4
-
12
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
P. O. Hoyer. Non-negative matrix factorization with sparseness constraints. JMLR, 5:1457-1469, 2004.
-
(2004)
JMLR
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.O.1
-
13
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
14
-
-
84898964201
-
Algorithms for Non-negative Matrix Factorization
-
D. D. Lee and H. S. Seung. Algorithms for Non-negative Matrix Factorization. In NIPS 13, pages 556-562, 2001.
-
(2001)
NIPS
, vol.13
, pp. 556-562
-
-
Lee, D.D.1
Seung, H.S.2
-
15
-
-
33745781710
-
A symbolic representation of time series, with implications for streaming algorithms
-
J. Lin, E. Keogh, S. Lonardi, and B. Chiu. A symbolic representation of time series, with implications for streaming algorithms. In Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, pages 2-11, 2003.
-
(2003)
Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
, pp. 2-11
-
-
Lin, J.1
Keogh, E.2
Lonardi, S.3
Chiu, B.4
-
16
-
-
76749107542
-
Online Learning for Matrix Factorization and Sparse Coding
-
J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online Learning for Matrix Factorization and Sparse Coding. Journal of Machine Learning Research, 11:10-60, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 10-60
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
-
17
-
-
34548085733
-
Efficient mining of understandable patterns from multivariate interval time series
-
F. Mörchen and A. Ultsch. Efficient mining of understandable patterns from multivariate interval time series. DMKD, 15(2):181-215, 2007.
-
(2007)
DMKD
, vol.15
, Issue.2
, pp. 181-215
-
-
Mörchen, F.1
Ultsch, A.2
-
19
-
-
78549287462
-
Detecting temporal pattern and cluster changes in social networks: A study focusing uk cattle movement database
-
P. N. E. Nohuddin, F. Coenen, R. Christley, and C. Setzkorn. Detecting temporal pattern and cluster changes in social networks: A study focusing uk cattle movement database. In IFIP Advances in Information and Communication Technology, pages 163-172, 2010.
-
(2010)
IFIP Advances in Information and Communication Technology
, pp. 163-172
-
-
Nohuddin, P.N.E.1
Coenen, F.2
Christley, R.3
Setzkorn, C.4
-
20
-
-
81355127388
-
Temporal pattern discovery in longitudinal electronic patient records
-
G. Norén, J. Hopstadius, A. Bate, K. Star, and I. Edwards. Temporal pattern discovery in longitudinal electronic patient records. DMKD, 20(3):361-387, 2010.
-
(2010)
DMKD
, vol.20
, Issue.3
, pp. 361-387
-
-
Norén, G.1
Hopstadius, J.2
Bate, A.3
Star, K.4
Edwards, I.5
-
21
-
-
70350232529
-
Discovering convolutive speech phones using sparseness and non-negativity
-
P. D. O'Grady and B. A. Pearlmutter. Discovering convolutive speech phones using sparseness and non-negativity. In ICA, 2007.
-
(2007)
ICA
-
-
O'Grady, P.D.1
Pearlmutter, B.A.2
-
22
-
-
13844256245
-
Mining sequential patterns by pattern-growth: The prefixspan approach
-
J. Pei, J. Han, B. Mortazavi-Asl, J. Wang, H. Pinto, Q. Chen, U. Dayal, and M. Hsu. Mining sequential patterns by pattern-growth: The prefixspan approach. IEEE TKDE, 16(11):1424-1440, 2004.
-
(2004)
IEEE TKDE
, vol.16
, Issue.11
, pp. 1424-1440
-
-
Pei, J.1
Han, J.2
Mortazavi-Asl, B.3
Wang, J.4
Pinto, H.5
Chen, Q.6
Dayal, U.7
Hsu, M.8
-
23
-
-
70349437625
-
Searching electronic health records for temporal patterns in patient histories: A case study with microsoft amalga
-
C. Plaisant, S. Lam, B. Shneiderman, M. S. Smith, D. Roseman, G. Marchand, M. Gillam, C. Feied, J. Handler, and H. Rappaport. Searching electronic health records for temporal patterns in patient histories: a case study with microsoft amalga. In AMIA, pages 601-605, 2008.
-
(2008)
AMIA
, pp. 601-605
-
-
Plaisant, C.1
Lam, S.2
Shneiderman, B.3
Smith, M.S.4
Roseman, D.5
Marchand, G.6
Gillam, M.7
Feied, C.8
Handler, J.9
Rappaport, H.10
-
24
-
-
79953787924
-
Medical temporal-knowledge discovery via temporal abstraction
-
M. Robert Moskovitch and Y. Shahar. Medical temporal-knowledge discovery via temporal abstraction. In AMIA, pages 452-456, 2009.
-
(2009)
AMIA
, pp. 452-456
-
-
Moskovitch, M.R.1
Shahar, Y.2
-
25
-
-
77955683121
-
Leveraging observational registries to inform comparative effectiveness research
-
B. R. Shah, J. Drozda, and E. D. Peterson. Leveraging observational registries to inform comparative effectiveness research. American Heart Journal, 160(1):8-15, 2010.
-
(2010)
American Heart Journal
, vol.160
, Issue.1
, pp. 8-15
-
-
Shah, B.R.1
Drozda, J.2
Peterson, E.D.3
-
26
-
-
35048843291
-
Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs
-
P. Smaragdis. Non-negative matrix factor deconvolution; extraction of multiple sound sources from monophonic inputs. In ICA, pages 494-499. 2004.
-
(2004)
ICA
, pp. 494-499
-
-
Smaragdis, P.1
-
29
-
-
57649200404
-
Aligning temporal data by sentinel events: Discovering patterns in electronic health records
-
T. Wang, C. Plaisant, A. Quinn, R. Stanchak, B. Shneiderman, and S. Murphy. Aligning temporal data by sentinel events: Discovering patterns in electronic health records. In Proc. of ACM Conference on Human Factors in Computing Systems, pages 457-466, 2008.
-
(2008)
Proc. of ACM Conference on Human Factors in Computing Systems
, pp. 457-466
-
-
Wang, T.1
Plaisant, C.2
Quinn, A.3
Stanchak, R.4
Shneiderman, B.5
Murphy, S.6
-
30
-
-
0034826102
-
Spade: An efficient algorithm for mining frequent sequences
-
M. J. Zaki. Spade: An efficient algorithm for mining frequent sequences. Machine Learning, 42:31-60, 2001.
-
(2001)
Machine Learning
, vol.42
, pp. 31-60
-
-
Zaki, M.J.1
|