-
1
-
-
77950884255
-
Spatio-temporal models for estimating click-through rate
-
D. Agarwal, B.-C. Chen, and P. Elango. Spatio-temporal models for estimating click-through rate. In WWW, pages 21-30, 2009.
-
(2009)
WWW
, pp. 21-30
-
-
Agarwal, D.1
Chen, B.-C.2
Elango, P.3
-
3
-
-
57149146298
-
Outlier-robust clustering using independent components
-
C. Böhm, C. Faloutsos, and C. Plant. Outlier-robust clustering using independent components. In SIGMOD, pages 185-198, 2008.
-
(2008)
SIGMOD
, pp. 185-198
-
-
Böhm, C.1
Faloutsos, C.2
Plant, C.3
-
4
-
-
0003410292
-
-
Prentice Hall, Englewood Cliffs, NJ, 3rd edition
-
G. E. Box, G. M. Jenkins, and G. C. Reinsel. Time Series Analysis: Forecasting and Control. Prentice Hall, Englewood Cliffs, NJ, 3rd edition, 1994.
-
(1994)
Time Series Analysis: Forecasting and Control.
-
-
Box, G.E.1
Jenkins, G.M.2
Reinsel, G.C.3
-
5
-
-
12244296737
-
Fully automatic cross-associations
-
D. Chakrabarti, S. Papadimitriou, D. S. Modha, and C. Faloutsos. Fully automatic cross-associations. In KDD, pages 79-88, 2004.
-
(2004)
KDD
, pp. 79-88
-
-
Chakrabarti, D.1
Papadimitriou, S.2
Modha, D.S.3
Faloutsos, C.4
-
6
-
-
77954756661
-
Leveraging spatio-temporal redundancy for rfid data cleansing
-
H. Chen, W.-S. Ku, H. Wang, and M.-T. Sun. Leveraging spatio-temporal redundancy for rfid data cleansing. In SIGMOD, pages 51-62, 2010.
-
(2010)
SIGMOD
, pp. 51-62
-
-
Chen, H.1
Ku, W.-S.2
Wang, H.3
Sun, M.-T.4
-
7
-
-
85135872226
-
On the marriage of lp-norms and edit distance
-
L. Chen and R. T. Ng. On the marriage of lp-norms and edit distance. In VLDB, pages 792-803, 2004.
-
(2004)
VLDB
, pp. 792-803
-
-
Chen, L.1
Ng, R.T.2
-
9
-
-
0032119668
-
The hierarchical hidden markov model: Analysis and applications
-
S. Fine, Y. Singer, and N. Tishby. The hierarchical hidden markov model: Analysis and applications. Machine Learning, 32(1):41-62, 1998.
-
(1998)
Machine Learning
, vol.32
, Issue.1
, pp. 41-62
-
-
Fine, S.1
Singer, Y.2
Tishby, N.3
-
10
-
-
85032752250
-
Bayesian nonparametric methods for learning markov switching processes
-
E. Fox, E. Sudderth, M. Jordan, and A. Willsky. Bayesian Nonparametric Methods for Learning Markov Switching Processes. Signal Processing Magazine, IEEE, 27(6):43-54, 2010.
-
(2010)
Signal Processing Magazine, IEEE
, vol.27
, Issue.6
, pp. 43-54
-
-
Fox, E.1
Sudderth, E.2
Jordan, M.3
Willsky, A.4
-
11
-
-
84858717210
-
Sharing features among dynamical systems with beta processes
-
E. B. Fox, E. B. Sudderth, M. I. Jordan, and A. S. Willsky. Sharing features among dynamical systems with beta processes. In NIPS, pages 549-557, 2009.
-
(2009)
NIPS
, pp. 549-557
-
-
Fox, E.B.1
Sudderth, E.B.2
Jordan, M.I.3
Willsky, A.S.4
-
12
-
-
65449116939
-
Spiral: Efficient and exact model identification for hidden markov models
-
Y. Fujiwara, Y. Sakurai, and M. Yamamuro. Spiral: efficient and exact model identification for hidden markov models. In KDD, pages 247-255, 2008.
-
(2008)
KDD
, pp. 247-255
-
-
Fujiwara, Y.1
Sakurai, Y.2
Yamamuro, M.3
-
13
-
-
3142770653
-
Adaptive stream resource management using kalman filters
-
A. Jain, E. Y. Chang, and Y.-F. Wang. Adaptive stream resource management using kalman filters. In SIGMOD, pages 11-22, 2004.
-
(2004)
SIGMOD
, pp. 11-22
-
-
Jain, A.1
Chang, E.Y.2
Wang, Y.-F.3
-
14
-
-
33845594450
-
An online algorithm for segmenting time series
-
E. J. Keogh, S. Chu, D. Hart, and M. J. Pazzani. An online algorithm for segmenting time series. In ICDM, pages 289-296, 2001.
-
(2001)
ICDM
, pp. 289-296
-
-
Keogh, E.J.1
Chu, S.2
Hart, D.3
Pazzani, M.J.4
-
15
-
-
35449007737
-
Trajectory clustering: A partition-and-group framework
-
J.-G. Lee, J. Han, and K.-Y. Whang. Trajectory clustering: a partition-and-group framework. In SIGMOD Conference, pages 593-604, 2007.
-
(2007)
SIGMOD Conference
, pp. 593-604
-
-
Lee, J.-G.1
Han, J.2
Whang, K.-Y.3
-
16
-
-
67649666663
-
Access methods for markovian streams
-
J. Letchner, C. Ré, M. Balazinska, and M. Philipose. Access methods for markovian streams. In ICDE, pages 246-257, 2009.
-
(2009)
ICDE
, pp. 246-257
-
-
Letchner, J.1
Ré, C.2
Balazinska, M.3
Philipose, M.4
-
17
-
-
80052661285
-
Thermocast: A cyber-physical forecasting model for data centers
-
L. Li, C.-J. M. Liang, J. Liu, S. Nath, A. Terzis, and C. Faloutsos. Thermocast: A cyber-physical forecasting model for data centers. In KDD, 2011.
-
(2011)
KDD
-
-
Li, L.1
Liang, C.-J.M.2
Liu, J.3
Nath, S.4
Terzis, A.5
Faloutsos, C.6
-
18
-
-
70350677089
-
Dynammo: Mining and summarization of coevolving sequences with missing values
-
L. Li, J. McCann, N. Pollard, and C. Faloutsos. Dynammo: Mining and summarization of coevolving sequences with missing values. In KDD, 2009.
-
(2009)
KDD
-
-
Li, L.1
McCann, J.2
Pollard, N.3
Faloutsos, C.4
-
19
-
-
80052675972
-
Parsimonious linear fingerprinting for time series
-
L. Li, B. A. Prakash, and C. Faloutsos. Parsimonious linear fingerprinting for time series. PVLDB, 3(1):385-396, 2010.
-
(2010)
PVLDB
, vol.3
, Issue.1
, pp. 385-396
-
-
Li, L.1
Prakash, B.A.2
Faloutsos, C.3
-
20
-
-
84866042606
-
Fast mining and forecasting of complex time-stamped events
-
Y. Matsubara, Y. Sakurai, C. Faloutsos, T. Iwata, and M. Yoshikawa. Fast mining and forecasting of complex time-stamped events. In KDD, pages 271-279, 2012.
-
(2012)
KDD
, pp. 271-279
-
-
Matsubara, Y.1
Sakurai, Y.2
Faloutsos, C.3
Iwata, T.4
Yoshikawa, M.5
-
21
-
-
84866023367
-
Rise and fall patterns of information diffusion: Model and implications
-
Y. Matsubara, Y. Sakurai, B. A. Prakash, L. Li, and C. Faloutsos. Rise and fall patterns of information diffusion: model and implications. In KDD, pages 6-14, 2012.
-
(2012)
KDD
, pp. 6-14
-
-
Matsubara, Y.1
Sakurai, Y.2
Prakash, B.A.3
Li, L.4
Faloutsos, C.5
-
22
-
-
77956199047
-
Online discovery and maintenance of time series motifs
-
A. Mueen and E. J. Keogh. Online discovery and maintenance of time series motifs. In KDD, pages 1089-1098, 2010.
-
(2010)
KDD
, pp. 1089-1098
-
-
Mueen, A.1
Keogh, E.J.2
-
23
-
-
0036709106
-
Clarans: A method for clustering objects for spatial data mining
-
R. T. Ng and J. Han. Clarans: A method for clustering objects for spatial data mining. IEEE Trans. Knowl. Data Eng., 14(5):1003-1016, 2002.
-
(2002)
IEEE Trans. Knowl. Data Eng.
, vol.14
, Issue.5
, pp. 1003-1016
-
-
Ng, R.T.1
Han, J.2
-
24
-
-
44649151073
-
Streaming time series summarization using user-defined amnesic functions
-
T. Palpanas, M. Vlachos, E. Keogh, and D. Gunopulos. Streaming time series summarization using user-defined amnesic functions. IEEE Transactions on Knowledge and Data Engineering, 20(7):992-1006, 2008.
-
(2008)
IEEE Transactions on Knowledge and Data Engineering
, vol.20
, Issue.7
, pp. 992-1006
-
-
Palpanas, T.1
Vlachos, M.2
Keogh, E.3
Gunopulos, D.4
-
25
-
-
33745631543
-
Streaming pattern discovery in multiple time-series
-
Trondheim, Norway, August-September
-
S. Papadimitriou, J. Sun, and C. Faloutsos. Streaming pattern discovery in multiple time-series. In Proceedings of VLDB, pages 697-708, Trondheim, Norway, August-September 2005.
-
(2005)
Proceedings of VLDB
, pp. 697-708
-
-
Papadimitriou, S.1
Sun, J.2
Faloutsos, C.3
-
26
-
-
84866037385
-
Searching and mining trillions of time series subsequences under dynamic time warping
-
T. Rakthanmanon, B. J. L. Campana, A. Mueen, G. E. A. P. A. Batista, M. B. Westover, Q. Zhu, J. Zakaria, and E. J. Keogh. Searching and mining trillions of time series subsequences under dynamic time warping. In KDD, pages 262-270, 2012.
-
(2012)
KDD
, pp. 262-270
-
-
Rakthanmanon, T.1
Campana, B.J.L.2
Mueen, A.3
Batista, G.E.A.P.A.4
Westover, M.B.5
Zhu, Q.6
Zakaria, J.7
Keogh, E.J.8
-
27
-
-
0001098776
-
A universal prior for integers and estimation by minimum description length
-
J. Rissanen. A Universal Prior for Integers and Estimation by Minimum Description Length. Ann. of Statist., 11(2):416-431, 1983.
-
(1983)
Ann. of Statist.
, vol.11
, Issue.2
, pp. 416-431
-
-
Rissanen, J.1
-
28
-
-
34548722676
-
Stream monitoring under the time warping distance
-
Y. Sakurai, C. Faloutsos, and M. Yamamuro. Stream monitoring under the time warping distance. In ICDE, pages 1046-1055, 2007.
-
(2007)
ICDE
, pp. 1046-1055
-
-
Sakurai, Y.1
Faloutsos, C.2
Yamamuro, M.3
-
29
-
-
29844444109
-
Braid: Stream mining through group lag correlations
-
Y. Sakurai, S. Papadimitriou, and C. Faloutsos. Braid: Stream mining through group lag correlations. In SIGMOD, pages 599-610, 2005.
-
(2005)
SIGMOD
, pp. 599-610
-
-
Sakurai, Y.1
Papadimitriou, S.2
Faloutsos, C.3
-
30
-
-
51349129063
-
Sensor networks for medical care
-
V. Shnayder, B.-r. Chen, K. Lorincz, T. R. F. F. Jones, and M. Welsh. Sensor networks for medical care. In SenSys, pages 314-314, 2005.
-
(2005)
SenSys
, pp. 314-314
-
-
Shnayder, V.1
Chen, B.-R.2
Lorincz, K.3
Jones, T.R.F.F.4
Welsh, M.5
-
31
-
-
3142713119
-
Prediction and indexing of moving objects with unknown motion patterns
-
Y. Tao, C. Faloutsos, D. Papadias, and B. Liu. Prediction and indexing of moving objects with unknown motion patterns. In Proceedings of ACM SIGMOD, pages 611-622, 2004.
-
(2004)
Proceedings of ACM SIGMOD
, pp. 611-622
-
-
Tao, Y.1
Faloutsos, C.2
Papadias, D.3
Liu, B.4
-
32
-
-
84866038437
-
The long and the short of it: Summarising event sequences with serial episodes
-
N. Tatti and J. Vreeken. The long and the short of it: summarising event sequences with serial episodes. In KDD, pages 462-470, 2012.
-
(2012)
KDD
, pp. 462-470
-
-
Tatti, N.1
Vreeken, J.2
-
33
-
-
84877876319
-
Pattern discovery in data streams under the time warping distance
-
M. Toyoda, Y. Sakurai, and Y. Ishikawa. Pattern discovery in data streams under the time warping distance. VLDB J., 22(3):295-318, 2013.
-
(2013)
VLDB J.
, vol.22
, Issue.3
, pp. 295-318
-
-
Toyoda, M.1
Sakurai, Y.2
Ishikawa, Y.3
-
34
-
-
79959970432
-
Finding semantics in time series
-
P. Wang, H. Wang, and W. Wang. Finding semantics in time series. In SIGMOD Conference, pages 385-396, 2011.
-
(2011)
SIGMOD Conference
, pp. 385-396
-
-
Wang, P.1
Wang, H.2
Wang, W.3
-
35
-
-
0025517070
-
Automatic recognition of keywords in unconstrained speech using hidden Markov models
-
J. G. Wilpon, L. R. Rabiner, C. H. Lee, and E. R. Goldman. Automatic recognition of keywords in unconstrained speech using hidden Markov models. IEEE Transactions on Acoustics, Speech, and Signal Processing, 38(11):1870-1878, 1990.
-
(1990)
IEEE Transactions on Acoustics, Speech, and Signal Processing
, vol.38
, Issue.11
, pp. 1870-1878
-
-
Wilpon, J.G.1
Rabiner, L.R.2
Lee, C.H.3
Goldman, E.R.4
-
36
-
-
0030157145
-
Birch: An efficient data clustering method for very large databases
-
ACM
-
T. Zhang, R. Ramakrishnan, and M. Livny. Birch: an efficient data clustering method for very large databases. In SIGMOD, pages 103-114. ACM, 1996.
-
(1996)
SIGMOD
, pp. 103-114
-
-
Zhang, T.1
Ramakrishnan, R.2
Livny, M.3
|