-
1
-
-
0029212693
-
Mining sequential patterns
-
Rakesh Agrawal and Ramajrishnan Srikant. Mining sequential patterns. In ICDE, 1995.
-
(1995)
ICDE
-
-
Agrawal, R.1
Srikant, R.2
-
2
-
-
28244462211
-
Discovering unbounded episodes in sequential data
-
Gemma Casas-Garriga. Discovering unbounded episodes in sequential data. In PKDD, 2003.
-
(2003)
PKDD
-
-
Casas-Garriga, G.1
-
3
-
-
67649655741
-
Concept clustering of evolving data
-
Shixi Chen, Haixun Wang, and Shuigeng Zhou. Concept clustering of evolving data. In ICDE, 2009.
-
(2009)
ICDE
-
-
Chen, S.1
Wang, H.2
Zhou, S.3
-
4
-
-
52649146290
-
Stop chasing trends: Discovering high order models in evolving data
-
Shixi Chen, Haixun Wang, Shuigeng Zhou, and Philip S. Yu. Stop chasing trends: Discovering high order models in evolving data. In ICDE, 2008.
-
(2008)
ICDE
-
-
Chen, S.1
Wang, H.2
Zhou, S.3
Yu, P.S.4
-
5
-
-
0028447023
-
Fast subsequence matching in time-series databases
-
Yannis Manolopoulos Christos Faloutsos, M. Ranganathan. Fast subsequence matching in time-series databases. In SIGMOD, 1994.
-
(1994)
SIGMOD
-
-
Faloutsos, Y.M.C.1
Ranganathan, M.2
-
6
-
-
0034819401
-
Data-streams and histograms
-
Sudipto Guha, Nick Koudas, and Kyuseok Shim. Data-streams and histograms. In STOC, 2001.
-
(2001)
STOC
-
-
Guha, S.1
Koudas, N.2
Shim, K.3
-
7
-
-
36949013904
-
Exploiting duality in summarization with deterministic guarantees
-
Panagiotis Karras, Dimitris Sacharidis, and Nikos Mamoulis. Exploiting duality in summarization with deterministic guarantees. In SIGKDD, 2007.
-
(2007)
SIGKDD
-
-
Karras, P.1
Sacharidis, D.2
Mamoulis, N.3
-
8
-
-
0034832364
-
Locally adaptive dimensionality reduction for indexing large time series databases
-
Eamonn Keogh, Kaushik Chakrabarti, Sharad Mehrotra, and Michael Pazzani. Locally adaptive dimensionality reduction for indexing large time series databases. In SIGMOD, 2001.
-
(2001)
SIGMOD
-
-
Keogh, E.1
Chakrabarti, K.2
Mehrotra, S.3
Pazzani, M.4
-
9
-
-
33845594450
-
An online algorithm for segmenting time series
-
Eamonn Keogh, Selina Chu, David Hart, and Michael Pazzani. An online algorithm for segmenting time series. In ICDM, 2001.
-
(2001)
ICDM
-
-
Keogh, E.1
Chu, S.2
Hart, D.3
Pazzani, M.4
-
10
-
-
65449159832
-
Constructing comprehensive summaries of large event sequences
-
Jerry Kiernan and Evimaria Terzi. Constructing comprehensive summaries of large event sequences. In SIGKDD, 2008.
-
(2008)
SIGKDD
-
-
Kiernan, J.1
Terzi, E.2
-
11
-
-
0041989761
-
An mdl method for finding haplotype blocks and for estimating the strength of haplotype block boundaries
-
Mikko Koivisto, Markus Perola, T. Varilo, W. Hennah, J. Ekelund, Margus Lukk L. Peltonen, Esko Ukkonen, and Heikki Mannila. An mdl method for finding haplotype blocks and for estimating the strength of haplotype block boundaries. In Pacific Symposium on Biocomputing, 2003.
-
(2003)
Pacific Symposium on Biocomputing
-
-
Koivisto, M.1
Perola, M.2
Varilo, T.3
Hennah, W.4
Ekelund, J.5
Peltonen, M.L.L.6
Ukkonen, E.7
Mannila, H.8
-
12
-
-
65449133624
-
Stream prediction using a generative model based on frequent episodes in event sequences
-
Srivatsan Laxman, Vikram Tankasali, and Ryen White. Stream prediction using a generative model based on frequent episodes in event sequences. In SIGKDD, 2008.
-
(2008)
SIGKDD
-
-
Laxman, S.1
Tankasali, V.2
White, R.3
-
13
-
-
28244452013
-
Discovering frequent episodes and learning hidden markov models: A formal connection
-
Srivatsan Laxman and P. S. Sastryand K. P. Unnikrishnan. Discovering frequent episodes and learning hidden markov models: A formal connection. IEEE Transactions on Knowledge and Data Engineering, 17(11):1505-1517, 2005.
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.11
, pp. 1505-1517
-
-
Laxman, S.1
Unnikrishnan, P.S.S.K.P.2
-
14
-
-
0035789281
-
Finding simple intensity descriptions from event sequence data
-
Heikki Mannila and Marko Salmenkivi. Finding simple intensity descriptions from event sequence data. In SIGKDD, 2001.
-
(2001)
SIGKDD
-
-
Mannila, H.1
Salmenkivi, M.2
-
15
-
-
27144468394
-
Discovery of frequent episodes in event sequences
-
Heikki Mannila, Hannu Toivonen, and Inkeri Verkamo. Discovery of frequent episodes in event sequences. In DMKD, 1997.
-
(1997)
DMKD
-
-
Mannila, H.1
Toivonen, H.2
Verkamo, I.3
-
16
-
-
34147170119
-
Constraint-based mining of episode rules and optimal window sizes
-
Nicolas Meger and Christophe Rigotti. Constraint-based mining of episode rules and optimal window sizes. In PKDD, 2004.
-
(2004)
PKDD
-
-
Meger, N.1
Rigotti, C.2
-
17
-
-
0032688141
-
Efficient time series matching by wavelets
-
Kin pong Chan and Ada Wai chee Fu. Efficient time series matching by wavelets. In ICDE, 1999.
-
(1999)
ICDE
-
-
Chan, K.P.1
Fu, A.W.C.2
-
18
-
-
0018015137
-
Modeling by shortest data description
-
J. Rissanen. Modeling by shortest data description. Automatica, 14:465-471, 1978.
-
(1978)
Automatica
, vol.14
, pp. 465-471
-
-
Rissanen, J.1
-
19
-
-
77952415079
-
Mining concept-drifting data streams using ensemble classifiers
-
H. Wang, W. Fan, P. S. Yu, and J. Han. Mining concept-drifting data streams using ensemble classifiers. In KDD, 2003.
-
(2003)
KDD
-
-
Wang, H.1
Fan, W.2
Yu, P.S.3
Han, J.4
-
20
-
-
33749559199
-
Suppressing model overfitting in mining concept-drifting data streams
-
H.Wang, J. Yin, J. Pei, P.S. Yu and J. X. Yu. Suppressing model overfitting in mining concept-drifting data streams. In KDD, 2006.
-
(2006)
KDD
-
-
Wang, H.1
Yin, J.2
Pei, J.3
Yu, P.S.4
Yu, J.X.5
-
21
-
-
32344442287
-
Combining proactive and reactive predictions for data streams
-
Ying Yang, Xindong Wu, and Xingquan Zhu. Combining proactive and reactive predictions for data streams. In SIGKDD, 2005.
-
(2005)
SIGKDD
-
-
Yang, Y.1
Wu, X.2
Zhu, X.3
|