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» Approximation algorithms for projective clustering
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SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 6 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
112
Voted
BMCBI
2008
121views more  BMCBI 2008»
15 years 23 days ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
94
Voted
SIGECOM
2010
ACM
147views ECommerce» more  SIGECOM 2010»
15 years 5 months ago
Socially desirable approximations for Dodgson's voting rule
In 1876 Charles Lutwidge Dodgson suggested the intriguing voting rule that today bears his name. Although Dodgson’s rule is one of the most well-studied voting rules, it suffers...
Ioannis Caragiannis, Christos Kaklamanis, Nikos Ka...
IPPS
2003
IEEE
15 years 6 months ago
Performance Modeling of the Grace Hash Join on Cluster Architectures
Aim of the paper is to develop a concise but comprehensive analytical model for the well-known Grace Hash Join algorithm on cost effective cluster architectures. This approach is ...
Erich Schikuta
95
Voted
BPM
2009
Springer
195views Business» more  BPM 2009»
15 years 7 months ago
Process Mining: Fuzzy Clustering and Performance Visualization
The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the pr...
Boudewijn F. van Dongen, A. Adriansyah