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DMSN
2006
ACM
15 years 10 months ago
Intelligent system monitoring on large clusters
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. ...
SOCO
2008
Springer
15 years 4 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
16 years 6 months ago
Finding Time-Lagged 3D Clusters
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
Xin Xu, Ying Lu, Kian-Lee Tan, Anthony K. H. Tung
IPPS
2007
IEEE
15 years 10 months ago
Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
Hui Li, Lex Wolters
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
15 years 10 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu