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» Tight results for clustering and summarizing data streams
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MM
2004
ACM
155views Multimedia» more  MM 2004»
14 years 1 months ago
Disruption-tolerant content-aware video streaming
Communication between a pair of nodes in the network may get disrupted due to failures of links/nodes resulting in zero effective bandwidth between them during the recovery perio...
Tiecheng Liu, Srihari Nelakuditi
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 9 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
HPDC
1998
IEEE
13 years 12 months ago
Towards a Hierarchical Scheduling System for Distributed WWW Server Clusters
In this paper we present a model for dynamically scheduling HTTP requests across clusters of servers, optimizing the use of client resources as well as the scattered server nodes....
Daniel Andresen, Timothy McCune
FUZZIEEE
2007
IEEE
14 years 2 months ago
Single Pass Fuzzy C Means
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
DATAMINE
2006
142views more  DATAMINE 2006»
13 years 7 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010