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VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 7 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
JCP
2006
111views more  JCP 2006»
15 years 1 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
15 years 3 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
15 years 3 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
SDM
2010
SIAM
166views Data Mining» more  SDM 2010»
15 years 9 days ago
Directed Network Community Detection: A Popularity and Productivity Link Model
In this paper, we consider the problem of community detection in directed networks by using probabilistic models. Most existing probabilistic models for community detection are ei...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...