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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 12 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
DIS
2009
Springer
16 years 1 months ago
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
Min-Soo Kim 0002, Jiawei Han
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
15 years 11 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
ISCC
2002
IEEE
131views Communications» more  ISCC 2002»
15 years 11 months ago
Scheduling real time parallel structure on cluster computing
: - Efficient task scheduling is essential for achieving high performance computing applications for distributed systems. Most of existing real-time systems consider schedulability...
Reda A. Ammar, Abdulrahman Alhamdan
HPCA
1996
IEEE
15 years 10 months ago
Telegraphos: High-Performance Networking for Parallel Processing on Workstation Clusters
Networks of workstations and high-performance microcomputers have been rarely used for running highperformance applicationslike multimedia, simulations,scientific and engineering ...
Evangelos P. Markatos, Manolis Katevenis