-
1
-
-
0036042175
-
Models and issues in data stream systems
-
In Proceedings of the Twenty-first ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, June 3-5, Madison, Wisconsin, USA, pages 1-16. ACM, 2002
-
Babcock, B. et al.. 'Models and issues in data stream systems'. In Proceedings of the Twenty-first ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, June 3-5, Madison, Wisconsin, USA, pages 1-16. ACM, 2002.
-
-
-
Babcock, B.1
-
2
-
-
0004008854
-
Pattern Recognition with Fuzzy Objective Function Algorithm
-
Plenum Press, New York
-
Bezdek, J.C. Pattern Recognition with Fuzzy Objective Function Algorithm. Plenum Press, New York, 1981.
-
(1981)
-
-
Bezdek, J.C.1
-
3
-
-
84889320368
-
Scalable distributed stream processing'. In Proceedings
-
C.I.DR-03: First Biennial Conference on Innovative Database Systems, pages 257-268, Asilomar, CA, 2003
-
Cherniack, M. et al.. 'Scalable distributed stream processing'. In Proceedings, C.I.DR-03: First Biennial Conference on Innovative Database Systems, pages 257-268, Asilomar, CA, 2003.
-
-
-
Cherniack, M.1
-
4
-
-
2442576849
-
Approximate aggregation techniques for sensor databases
-
In ICDE-04: 20th IEEE International Conference on Data Engineering, 00:449
-
Considine, J., Li, F., Kollios, G. and Byers, J.W. 'Approximate aggregation techniques for sensor databases'. In ICDE-04: 20th IEEE International Conference on Data Engineering, 00:449, 2004.
-
(2004)
-
-
Considine, J.1
Li, F.2
Kollios, G.3
Byers, J.W.4
-
5
-
-
1142305378
-
What's hot and what's not: tracking most frequent items dynamically
-
In Proceedings of the 22nd ACMSIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, ACM Press, 2003
-
Cormode, G. and Muthukrishnan, S. 'What's hot and what's not: tracking most frequent items dynamically'. In Proceedings of the 22nd ACMSIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pages 296-306. ACM Press, 2003.
-
-
-
Cormode, G.1
Muthukrishnan, S.2
-
6
-
-
1142303698
-
Approximatejoin processingover data streams
-
InProceedings of the 2003 ACM SIGMOD International Conference on Management of Data, pages 40-51. ACM Press
-
Das, A., Gehrke, J. and Riedewald, M.'Approximatejoin processingover data streams'. InProceedings of the 2003 ACM SIGMOD International Conference on Management of Data, pages 40-51. ACM Press, 2003.
-
(2003)
-
-
Das, A.1
Gehrke, J.2
Riedewald, M.3
-
7
-
-
84968735289
-
Maintaining stream statistics over sliding windows
-
In Proceedings of the Annual, A.C.M-SIAM Sympsium on Discrete Algorithms (SODA 2002), pages
-
Datar, M., Gionis, A., Indyk, P. and Motwani, R. 'Maintaining stream statistics over sliding windows'. In Proceedings of the Annual, A.C.M-SIAM Sympsium on Discrete Algorithms (SODA 2002), pages 635-644, 2002.
-
(2002)
, pp. 635-644
-
-
Datar, M.1
Gionis, A.2
Indyk, P.3
Motwani, R.4
-
8
-
-
84938057127
-
Estimating rarity and similarity over data stream windows
-
InAlgorithms -ESA 2002, pages, Springer
-
Datar, M. and Muthukrishnan, S. 'Estimating rarity and similarity over data stream windows'. InAlgorithms -ESA 2002, pages 323-334. Springer, 2002.
-
(2002)
, pp. 323-334
-
-
Datar, M.1
Muthukrishnan, S.2
-
9
-
-
0002815587
-
A general method for scaling up machine learning algorithms and its application to clustering
-
In Proceedings of the Eighteenth International Conference on Machine Learning, pages, Williamstown, MA
-
Domingos, P. and Hulten, G. 'A general method for scaling up machine learning algorithms and its application to clustering'. In Proceedings of the Eighteenth International Conference on Machine Learning, pages 106-113, Williamstown, MA, 2001.
-
(2001)
, pp. 106-113
-
-
Domingos, P.1
Hulten, G.2
-
11
-
-
3142750484
-
Clustering large graphs via the singular value decomposition
-
Drineas, P. et al.. 'Clustering large graphs via the singular value decomposition'. Machine Learning, 56:9-33, 2004.
-
(2004)
Machine Learning
, vol.56
, pp. 9-33
-
-
Drineas, P.1
-
12
-
-
33845389929
-
Cost-efficient mining techniques for data streams
-
In Proceedingsof theSecondWorkshoponAustralasian InformationSecurity, DataMining and WebIntelligence,and Software Internationalisation, pages 109-114. Australian Computer Society, Inc
-
Gaber, M.M. Krishnaswamy, S. and Zaslavsky, A. 'Cost-efficient mining techniques for data streams'. In Proceedingsof theSecondWorkshoponAustralasian InformationSecurity, DataMining and WebIntelligence,and Software Internationalisation, pages 109-114. Australian Computer Society, Inc., 2004.
-
(2004)
-
-
Gaber, M.M.1
Krishnaswamy, S.2
Zaslavsky, A.3
-
13
-
-
0036367429
-
Querying and mining data streams: you only get one look
-
In Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, ACM Press
-
Garofalakis, M., Gehrke, J. and Rastogi, R. 'Querying and mining data streams: you only get one look'. In Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, pages 635-635. ACM Press, 2002.
-
(2002)
, pp. 635-635
-
-
Garofalakis, M.1
Gehrke, J.2
Rastogi, R.3
-
15
-
-
26944459038
-
Mining frequent patterns in data streams at multiple time granularities
-
In, Kargupta, H., A. Joshi, Sivakumar, K., and Y. Yesha, editors, Next Generation Data Mining, pages, AAAI/MIT
-
Giannella, C. et al.. 'Mining frequent patterns in data streams at multiple time granularities'. In, Kargupta, H., A. Joshi, Sivakumar, K., and Y. Yesha, editors, Next Generation Data Mining, pages 105-124. AAAI/MIT, 2003.
-
(2003)
, pp. 105-124
-
-
Giannella, C.1
-
16
-
-
2442617843
-
Issues in data stream management
-
Golab, L. and Tamer, M. 'Issues in data stream management'. SIGMOD Rec., 32(2):5-14, 2003.
-
(2003)
SIGMOD Rec
, vol.32
, Issue.2
, pp. 5-14
-
-
Golab, L.1
Tamer, M.2
-
17
-
-
0034514004
-
Clustering data streams
-
InIEEE Symposium onFoundations of Computer Science, pages
-
Guha, S., Mishra, N., Motwani, R. and O'Callaghan, L. 'Clustering data streams'. InIEEE Symposium onFoundations of Computer Science, pages 359-366, 2000.
-
(2000)
, pp. 359-366
-
-
Guha, S.1
Mishra, N.2
Motwani, R.3
O'Callaghan, L.4
-
18
-
-
0034831597
-
Time series similarity measures and time series indexing
-
In Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data, page 624, Santa Barbara, California
-
Gunopulos, D. and Das, G. 'Time series similarity measures and time series indexing'. In Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data, page 624, Santa Barbara, California, 2001.
-
(2001)
-
-
Gunopulos, D.1
Das, G.2
-
19
-
-
0004185151
-
Clustering Algorithms
-
John Wiley & Sons, Inc., New York
-
Hartigan, J.A. Clustering Algorithms. John Wiley & Sons, Inc., New York, 1975.
-
(1975)
-
-
Hartigan, J.A.1
-
20
-
-
0003630531
-
Fuzzy Cluster Analysis
-
JohnWiley & Sons, Ltd, Chichester
-
Höppner, F., Klawonn, F., Kruse, F. and Runkler, T. Fuzzy Cluster Analysis. JohnWiley & Sons, Ltd, Chichester, 1999.
-
(1999)
-
-
Höppner, F.1
Klawonn, F.2
Kruse, F.3
Runkler, T.4
-
21
-
-
0035789299
-
Mining time-changing data streams
-
In Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Press
-
Hulten, G., Spencer, L. and Domingos, P. 'Mining time-changing data streams'. In Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 97-106. ACM Press, 2001.
-
(2001)
, pp. 97-106
-
-
Hulten, G.1
Spencer, L.2
Domingos, P.3
-
22
-
-
0032123141
-
A sensitivity analysis approach to introducing weight factors into decision functions in fuzzy multicriteria decision making
-
Kaymak, U. and van Nauta Lemke, H.R. 'A sensitivity analysis approach to introducing weight factors into decision functions in fuzzy multicriteria decision making'. Fuzzy Sets and Systems, 97(2):169-182, 1998.
-
(1998)
Fuzzy Sets and Systems
, vol.97
, Issue.2
, pp. 169-182
-
-
Kaymak, U.1
van Nauta Lemke, H.R.2
-
23
-
-
0242709395
-
On the need for time series data mining benchmarks: A survey and empirical demonstration
-
InEighth, A.C.M.SIGKDDInternational Conference on Knowledge Discovery and Data Mining, pages 102-111, Edmonton, Alberta, Canada, July
-
Keogh, E. and Kasetty, S. 'On the need for time series data mining benchmarks: A survey and empirical demonstration'. InEighth, A.C.M.SIGKDDInternational Conference on Knowledge Discovery and Data Mining, pages 102-111, Edmonton, Alberta, Canada, July 2002.
-
(2002)
-
-
Keogh, E.1
Kasetty, S.2
-
24
-
-
0036203413
-
Streaming-data algorithms for high-quality clustering
-
O'Callaghan, L. et al.. 'Streaming-data algorithms for high-quality clustering', 00:0685, 2002.
-
(2002)
, vol.0
, Issue.685
-
-
O'Callaghan, L.1
-
25
-
-
84969145690
-
Adaptive, hands-off stream mining
-
In Twentyninth International Conference on Very Large Data Bases, pages
-
Papadimitriou, S., Faloutsos, C. and Brockwell, A. 'Adaptive, hands-off stream mining'. In Twentyninth International Conference on Very Large Data Bases, pages 560-571, 2003.
-
(2003)
, pp. 560-571
-
-
Papadimitriou, S.1
Faloutsos, C.2
Brockwell, A.3
-
26
-
-
0035532141
-
Estimatingthenumberofclustersinadatasetviathegapstatistic
-
Tibshirami, R., Walther, G. and Hastie, T. 'Estimatingthenumberofclustersinadatasetviathegapstatistic'.Journal of the Royal Statistical Society-Series B, 63(2):411-423, 2001.
-
(2001)
Journal of the Royal Statistical Society-Series B
, vol.63
, Issue.2
, pp. 411-423
-
-
Tibshirami, R.1
Walther, G.2
Hastie, T.3
-
28
-
-
0141637082
-
Statstream: 'Statisticalmonitoringofthousandsof data streamsin realtime
-
AnalyzingData Streams -VLDB 2002, Springer
-
Zhu, Y.and Shasha, D.Statstream: 'Statisticalmonitoringofthousandsof data streamsin realtime'.AnalyzingData Streams -VLDB 2002, pages 358-369, Springer, 2002.
-
(2002)
, pp. 358-369
-
-
Zhu, Y.1
Shasha, D.2
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