-
1
-
-
80052673282
-
-
BBC SPORT | Cricket | Laws & Equipment. http://news.bbc.co.uk/sport2/ hi/cricket/rules-and-equipment.
-
Cricket | Laws & Equipment
-
-
-
3
-
-
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., 1:1542-1552, 2008.
-
(2008)
Proc. VLDB Endow
, vol.1
, pp. 1542-1552
-
-
Ding, H.1
Trajcevski, G.2
Scheuermann, P.3
Wang, X.4
Keogh, E.5
-
6
-
-
77957951986
-
Prototype optimization for temporarily and spatially distorted time series
-
B. Hartmann, I. Schwab, and N. Link. Prototype optimization for temporarily and spatially distorted time series. In the AAAI Spring Symposia, 2010.
-
(2010)
The AAAI Spring Symposia
-
-
Hartmann, B.1
Schwab, I.2
Link, N.3
-
8
-
-
0042711018
-
On the need for time series data mining benchmarks: A survey and empirical demonstration
-
E. Keogh and S. Kasetty. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. Data Mining and Knowledge Discovery, 7(4):349-371, 2003.
-
(2003)
Data Mining and Knowledge Discovery
, vol.7
, Issue.4
, pp. 349-371
-
-
Keogh, E.1
Kasetty, S.2
-
10
-
-
33847235037
-
Online context recognition in multisensor systems using dynamic time warping
-
M. H. Ko, G. West, S. Venkatesh, and M. Kumar. Online context recognition in multisensor systems using dynamic time warping. In Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005., pages 283 - 288, 2005.
-
(2005)
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005
, pp. 283-288
-
-
Ko, M.H.1
West, G.2
Venkatesh, S.3
Kumar, M.4
-
11
-
-
70449645004
-
Uwave: Accelerometer-based personalized gesture recognition and its applications
-
J. Liu, L. Zhong, J. Wickramasuriya, and V. Vasudevan. uwave: Accelerometer-based personalized gesture recognition and its applications. Pervasive and Mobile Computing, 5(6):657-675, 2009.
-
(2009)
Pervasive and Mobile Computing
, vol.5
, Issue.6
, pp. 657-675
-
-
Liu, J.1
Zhong, L.2
Wickramasuriya, J.3
Vasudevan, V.4
-
13
-
-
78651352893
-
Identifying predictive multi-dimensional time series motifs: An application to severe weather prediction
-
A. McGovern, D. Rosendahl, R. Brown, and K. Droegemeier. Identifying predictive multi-dimensional time series motifs: an application to severe weather prediction. Data Mining and Knowledge Discovery, 22:232-258, 2011.
-
(2011)
Data Mining and Knowledge Discovery
, vol.22
, pp. 232-258
-
-
McGovern, A.1
Rosendahl, D.2
Brown, R.3
Droegemeier, K.4
-
14
-
-
77954730855
-
Fast approximate correlation for massive time-series data
-
A. Mueen, S. Nath, and J. Liu. Fast approximate correlation for massive time-series data. In SIGMOD Conference, pages 171-182, 2010.
-
(2010)
SIGMOD Conference
, pp. 171-182
-
-
Mueen, A.1
Nath, S.2
Liu, J.3
-
18
-
-
84873606971
-
Extracting interpretable features for early classification on time series
-
Z. Xing, J. Pei, P. Yu, and K. Wang. Extracting interpretable features for early classification on time series. In the Proceedings of SDM, 2011.
-
(2011)
The Proceedings of SDM
-
-
Xing, Z.1
Pei, J.2
Yu, P.3
Wang, K.4
|