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» Experiments on Graph Clustering Algorithms
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CLUSTER
2006
IEEE
13 years 10 months ago
A taxonomy of application scheduling tools for high performance cluster computing
Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper pre...
Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal ...
ICCAD
1999
IEEE
90views Hardware» more  ICCAD 1999»
14 years 3 months ago
An implicit connection graph maze routing algorithm for ECO routing
Abstract-- ECO routing is a very important design capability in advanced IC, MCM and PCB designs when additional routings need to be made at the latter stage of the physical design...
Jason Cong, Jie Fang, Kei-Yong Khoo
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
14 years 5 days ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
CIMCA
2005
IEEE
14 years 4 months ago
Potentials and Limits of Graph-Algorithms for Discovering Ontology Patterns
The aim of the research presented in this paper is to contribute to reduction of development time for ontologies by discovering reusable parts and patterns. The approach is to use...
Christer Thörn, Orjan Eriksson, Eva Blomqvist...
VLDB
1994
ACM
140views Database» more  VLDB 1994»
14 years 2 months ago
Efficient and Effective Clustering Methods for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
Raymond T. Ng, Jiawei Han