-
1
-
-
85012236181
-
A framework for clustering evolving data streams
-
Berlin, Germany
-
C.C. Aggarwal, J. Han, J. Wang, and P.S. Yu, "a framework for clustering evolving data streams", in: Proc. 29th Int. Conf. Very Large Data Bases, Berlin, Germany, 2003.
-
(2003)
Proc. 29th Int. Conf. Very Large Data Bases
-
-
Aggarwal, C.C.1
Han, J.2
Wang, J.3
Yu, P.S.4
-
2
-
-
33745434639
-
Density-based clustering over an evolving data stream with noise
-
Maryland, usa
-
F. Cao, M. Ester, W. Qian, and A. Zhou, "Density-based clustering over an evolving data stream with noise", in: Proc. 6th siam Int. Conf. Data Mining, siam, Bethesda, Maryland, usa, 2006.
-
(2006)
Proc. 6th Siam Int. Conf. Data Mining, Siam, Bethesda
-
-
Cao, F.1
Ester, M.2
Qian, W.3
Zhou, A.4
-
3
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
M. Ester, H.-P., Kriegel, J. Sander, and X. Xu, "a density-based algorithm for discovering clusters in large spatial databases with noise", in: Proc. acm kdd 1996, pp. 226-231, 1996.
-
(1996)
Proc. Acm Kdd 1996
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.4
-
4
-
-
0347172110
-
Optics: Ordering points to identify the clustering structure
-
M. Ankerst, M. Breunig, H.-P. Kriegel, and J. Sander, "optics: Ordering points to identify the clustering structure", in: acm sigmod 1999, pp. 49-60.
-
(1999)
Acm Sigmod
, pp. 49-60
-
-
Ankerst, M.1
Breunig, M.2
Kriegel, H.-P.3
Sander, J.4
-
5
-
-
26444541854
-
On discovering moving clusters in spatio-temporal data
-
Springer
-
P. Kalnis, N. Mamoulis, and S. Bakiras, "On discovering moving clusters in spatio-temporal data", in: Advances in spatial and temporal databases, 9th Int. Symp. sstd 2005, Springer, pp.364-381, 2005.
-
(2005)
Advances in Spatial and Temporal Databases, 9th Int. Symp. Sstd 2005
, pp. 364-381
-
-
Kalnis, P.1
Mamoulis, N.2
Bakiras, S.3
-
6
-
-
85119377690
-
Scalable cluster analysis of spatial events
-
I. Peca, G. Fuchs, K. Vrotsou, N. Andrienko, and G. Andrienko, "Scalable Cluster Analysis of Spatial Events", in: Proc. EuroVA, Int.Workshop on Visual Analytics, EuroGraphics, pp.19-23, 2012.
-
(2012)
Proc. EuroVA, Int.Workshop on Visual Analytics, EuroGraphics
, pp. 19-23
-
-
Peca, I.1
Fuchs, G.2
Vrotsou, K.3
Andrienko, N.4
Andrienko, G.5
-
7
-
-
84860664747
-
Spatiotemporal anomaly detection through visual analysis of geolocated twitter messages
-
D. Thom, H. Bosch, S. Koch, M. Wörner, and T. Ertl, "Spatiotemporal anomaly detection through visual analysis of geolocated twitter messages", in: Proc. ieee Pacific Visualization Symp., 41-48, 2012.
-
(2012)
Proc. Ieee Pacific Visualization Symp
, pp. 41-48
-
-
Thom, D.1
Bosch, H.2
Koch, S.3
Wörner, M.4
Ertl, T.5
-
8
-
-
84877995375
-
An adaptive incremental clustering method based on the growing neural gas algorithm
-
M.-R. Bouguelia, Y. Belaïd, and A. Belaïd, "An Adaptive Incremental Clustering Method Based on the Growing Neural Gas Algorithm", in: Proc. 2nd Int. Conf. Pattern Recognition Applications and Methods-icpram 2013, 42-49, 2013.
-
(2013)
Proc. 2nd Int. Conf. Pattern Recognition Applications and Methods-icpram 2013
, pp. 42-49
-
-
Bouguelia, M.-R.1
Belaïd, Y.2
Belaïd, A.3
-
10
-
-
77954571408
-
Earthquake shakes twitter users: Real-time event detection by social sensors
-
T. Sakaki, M. Okazaki, and Y. Matsuo, "Earthquake shakes twitter users: real-time event detection by social sensors", in: Proc. 19th Intl. acm Conf. Worldwide web, www '10, 851-860, 2010.
-
(2010)
Proc. 19th Intl. Acm Conf. Worldwide Web, Www '10
, pp. 851-860
-
-
Sakaki, T.1
Okazaki, M.2
Matsuo, Y.3
-
11
-
-
84923309286
-
Performance of social network sensors during hurricane sandy
-
Y. Kryvasheyeu, H. Chen, E. Moro, P. Van Hentenryck, and M. Cebrian "Performance of Social Network Sensors during Hurricane Sandy". PLoS one 10(2): e0117288. doi: 10.1371/journal.pone.0117288, 2015.
-
(2015)
PLoS One
, vol.10
, Issue.2
, pp. e0117288
-
-
Kryvasheyeu, Y.1
Chen, H.2
Moro, E.3
Van Hentenryck, P.4
Cebrian, M.5
|