-
1
-
-
85012236181
-
A framework for clustering evolving data streams
-
Morgan Kaufmann, September
-
C.C. Aggarwal, J. Han, J. Wang and P.S. Yu, A framework for clustering evolving data streams. In VLDB 2003, Proceedings of 29th International Conference on Very Large Data Bases, pages 81-92. Morgan Kaufmann, September 2003.
-
(2003)
VLDB 2003, Proceedings of 29th International Conference on Very Large Data Bases
, pp. 81-92
-
-
Aggarwal, C.C.1
Han, J.2
Wang, J.3
Yu, P.S.4
-
2
-
-
0032090765
-
Automatic subspace clustering of high dimensional data for data mining applications
-
Seattle,Washington, June. ACM Press
-
R. Agrawal, J. Gehrke, D. Gunopulos and P. Raghavan, Automatic subspace clustering of high dimensional data for data mining applications. In Proceedings of the ACM-SIGMOD International Conference on Management of Data, pages 94-105, Seattle,Washington, June 1998. ACM Press.
-
(1998)
Proceedings of the ACM-SIGMOD International Conference on Management of Data
, pp. 94-105
-
-
Agrawal, R.1
Gehrke, J.2
Gunopulos, D.3
Raghavan, P.4
-
3
-
-
0036688074
-
A survey on sensor networks
-
I. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, A Survey on Sensor Networks, IEEE Communications Magazine 40(8) (2002), 102-114.
-
(2002)
IEEE Communications Magazine
, vol.40
, Issue.8
, pp. 102-114
-
-
Akyildiz, I.1
Su, W.2
Sankarasubramaniam, Y.3
Cayirci, E.4
-
4
-
-
0003777592
-
-
Chapter 8. Approximation Algorithms for Geometric Problems, PWS Publishing Company
-
M. Bern and D. Eppstein, Approximation Algorithms for NP-hard Problems, Chapter 8. Approximation Algorithms for Geometric Problems, pages 296-345. PWS Publishing Company, 1996.
-
(1996)
Approximation Algorithms for NP-hard Problems
, pp. 296-345
-
-
Bern, M.1
Eppstein, D.2
-
6
-
-
84869158135
-
Finding frequent items in data streams
-
Springer Verlag
-
M. Charikar, K. Chen and M. Farach-Colton, Finding frequent items in data streams. In Proceedings of the 29th International Colloquium on Automata, Languages and Programming, pages 693-703. Springer Verlag, 2002.
-
(2002)
Proceedings of the 29th International Colloquium on Automata, Languages and Programming
, pp. 693-703
-
-
Charikar, M.1
Chen, K.2
Farach-Colton, M.3
-
10
-
-
33947403146
-
Distributed data mining in peer-to-peer networks
-
S. Datta, K. Bhaduri, C. Giannella, R. Wolff and H. Kargupta, Distributed data mining in peer-to-peer networks, IEEE Internet Computing 10(4) (2006), 18-26.
-
(2006)
IEEE Internet Computing
, vol.10
, Issue.4
, pp. 18-26
-
-
Datta, S.1
Bhaduri, K.2
Giannella, C.3
Wolff, R.4
Kargupta, H.5
-
13
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
E. Simoudis, J. Han and U. Fayyad, editors, Portland, Oregon, AAAI Press
-
M. Ester, H.-P. Kriegel, J. Sander and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, in: Second International Conference on Knowledge Discovery and Data Mining, E. Simoudis, J. Han and U. Fayyad, editors, Portland, Oregon, 1996. AAAI Press, pp. 226-231
-
(1996)
Second International Conference on Knowledge Discovery and Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.4
-
14
-
-
33751066175
-
Discretization from data streams: Applications to histograms and data mining
-
H. Haddad, ed., Dijon, France, April 2006, ACM Press
-
J. Gama and C. Pinto, Discretization from data streams: applications to histograms and data mining, in: Proceedings of the 2006 ACM Symposium on Applied Computing (SAC 2006), H. Haddad, ed., Dijon, France, April 2006, ACM Press, pp. 662-667.
-
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC 2006)
, pp. 662-667
-
-
Gama, J.1
Pinto, C.2
-
15
-
-
56049091063
-
Data stream processing
-
(Chapter 3), J. Gama and M.M. Gaber, eds, Springer Verlag
-
J. Gama and P.P. Rodrigues, Data stream processing, in: Learning from Data Streams - Processing Techniques in Sensor Networks, (Chapter 3), J. Gama and M.M. Gaber, eds, Springer Verlag, 2007, pp. 25-39.
-
(2007)
Learning from Data Streams - Processing Techniques in Sensor Networks
, pp. 25-39
-
-
Gama, J.1
Rodrigues, P.P.2
-
16
-
-
72949119714
-
Evaluating algorithms that learn from data streams
-
Honolulu, Hawaii, USA, ACM Press
-
J. Gama, P.P. Rodrigues and R. Sebastião, Evaluating algorithms that learn from data streams. In Proceedings of the 24th Annual ACM Symposium on Applied Computing (SAC 2009), pages 1496-1500, Honolulu, Hawaii, USA, 2009. ACM Press.
-
(2009)
Proceedings of the 24th Annual ACM Symposium on Applied Computing (SAC 2009)
, pp. 1496-1500
-
-
Gama, J.1
Rodrigues, P.P.2
Sebastião, R.3
-
17
-
-
0021938963
-
Clustering to minimize the maximum inter-cluster distance
-
T.F. Gonzalez, Clustering to minimize the maximum inter-cluster distance, Theoretical Computer Science 38 (1985), 293-306.
-
(1985)
Theoretical Computer Science
, vol.38
, pp. 293-306
-
-
Gonzalez, T.F.1
-
18
-
-
0032091595
-
CURE: An efficient clustering algorithm for large databases
-
L.M. Haas and A. Tiwary, editors, ACM Press
-
S. Guha, R. Rastogi and K. Shim, CURE: An efficient clustering algorithm for large databases, in: Proceedings of the 1998 ACM-SIGMOD International Conference on Management of Data, L.M. Haas and A. Tiwary, editors, ACM Press, 1998, pp. 73-84.
-
(1998)
Proceedings of the 1998 ACM-SIGMOD International Conference on Management of Data
, pp. 73-84
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
19
-
-
85009732121
-
EnviroSuite: An environmentally immersive programming framework for sensor networks
-
L. Luo, T. Abdelzaher, T. He and J. Stankovic, EnviroSuite: An Environmentally Immersive Programming Framework for Sensor Networks, ACM TECS 5(3) (2006), 543-576.
-
(2006)
ACM TECS
, vol.5
, Issue.3
, pp. 543-576
-
-
Luo, L.1
Abdelzaher, T.2
He, T.3
Stankovic, J.4
-
22
-
-
26444554921
-
Region streams: Functional macroprogramming for sensor networks
-
R. Newton and M.Welsh, Region Streams: Functional Macroprogramming for Sensor Networks. In DMSN'04Workshop, 2004.
-
(2004)
DMSN'04Workshop
-
-
Newton, R.1
Welsh, M.2
-
23
-
-
0036203413
-
Streaming-data algorithms for high-quality clustering
-
IEEE Computer Society
-
L. O'Callaghan, A.Meyerson, R. Motwani, N. Mishra and S. Guha, Streaming-data algorithms for high-quality clustering. In Proceedings of the Eighteenth Annual IEEE International Conference on Data Engineering, pages 685-696. IEEE Computer Society, 2002.
-
(2002)
Proceedings of the Eighteenth Annual IEEE International Conference on Data Engineering
, pp. 685-696
-
-
O'callaghan, L.1
Meyerson, A.2
Motwani, R.3
Mishra, N.4
Guha, S.5
-
24
-
-
14344255219
-
Statistical grid-based clustering over data streams
-
N.H. Park and W.S. Lee, Statistical grid-based clustering over data streams, SIGMOD Record 33(1) (2004), 32-37.
-
(2004)
SIGMOD Record
, vol.33
, Issue.1
, pp. 32-37
-
-
Park, N.H.1
Lee, W.S.2
-
25
-
-
66949160834
-
Clustering techniques in sensor networks
-
(Chapter 9), J. Gama and M.M. Gaber, eds, Springer Verlag
-
P.P. Rodrigues and J. Gama, Clustering techniques in sensor networks, in: Learning from Data Streams - Processing Techniques in Sensor Networks, (Chapter 9), J. Gama and M.M. Gaber, eds, Springer Verlag, 2007, pp. 125-142.
-
(2007)
Learning from Data Streams - Processing Techniques in Sensor Networks
, pp. 125-142
-
-
Rodrigues, P.P.1
Gama, J.2
-
26
-
-
62449130659
-
A system for analysis and prediction of electricity load streams
-
P.P. Rodrigues and J. Gama, A system for analysis and prediction of electricity load streams, Intelligent Data Analysis 13(3) (2009), 477-496.
-
(2009)
Intelligent Data Analysis
, vol.13
, Issue.3
, pp. 477-496
-
-
Rodrigues, P.P.1
Gama, J.2
-
27
-
-
84860382052
-
Knowledge discovery for sensor network comprehension
-
A. Cuzzocrea, ed., IGI Global
-
P.P. Rodrigues, J. Gama and L. Lopes, Knowledge discovery for sensor network comprehension, in: Intelligent Techniques for Warehousing and Mining Sensor Network Data, A. Cuzzocrea, ed., IGI Global, 2009.
-
(2009)
Intelligent Techniques for Warehousing and Mining Sensor Network Data
-
-
Rodrigues, P.P.1
Gama, J.2
Lopes, L.3
-
28
-
-
79551553553
-
Requirements for clustering streaming sensors
-
(Chapter 4), A.R. Ganguly, J. Gama, O.A. Omitaomu, M.M. Gaber and R.R. Vatsavai, eds, CRC Press
-
P.P. Rodrigues, J. Gama and L. Lopes, Requirements for clustering streaming sensors, in: Knowledge Discovery from Sensor Data, (Chapter 4), A.R. Ganguly, J. Gama, O.A. Omitaomu, M.M. Gaber and R.R. Vatsavai, eds, CRC Press, 2009, pp. 33-51.
-
(2009)
Knowledge Discovery from Sensor Data
, pp. 33-51
-
-
Rodrigues, P.P.1
Gama, J.2
Lopes, L.3
-
29
-
-
35248830261
-
Online outlier detection in sensor data using non-parametric models
-
S. Subramaniam, T. Palpanas, D. Papadopoulos, V. Kalogeraki and D. Gunopulos, Online outlier detection in sensor data using non-parametric models, In VLDB, pages 187-198, 2006.
-
(2006)
VLDB
, pp. 187-198
-
-
Subramaniam, S.1
Palpanas, T.2
Papadopoulos, D.3
Kalogeraki, V.4
Gunopulos, D.5
-
30
-
-
84994158589
-
STING:A statistical information grid approach to spatial data mining
-
M. Jarke, M.J. Carey, K.R. Dittrich, F.H. Lochovsky, P. Loucopoulos and M.A. Jeusfeld, editors, Athens, Greece, Morgan Kaufmann
-
W.Wang, J. Yang and R.R. Muntz, STING:A statistical information grid approach to spatial data mining, in: Proceedings of the Twenty-Third International Conference on Very Large Data Bases, M. Jarke, M.J. Carey, K.R. Dittrich, F.H. Lochovsky, P. Loucopoulos and M.A. Jeusfeld, editors, Athens, Greece, 1997. Morgan Kaufmann, pp. 186-195.
-
(1997)
Proceedings of the Twenty-Third International Conference on Very Large Data Bases
, pp. 186-195
-
-
Wang, W.1
Yang, J.2
Muntz, R.R.3
|