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KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 9 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
CSMR
2003
IEEE
15 years 10 months ago
Moving to Smaller Libraries via Clustering and Genetic Algorithms
There may be several reasons to reduce a software system to its bare bone removing the extra fat introduced during development or evolution. Porting the software system on embedde...
Giuliano Antoniol, Massimiliano Di Penta, Markus N...
ANTSW
2006
Springer
15 years 8 months ago
An Estimation of Distribution Particle Swarm Optimization Algorithm
Abstract. In this paper we present an estimation of distribution particle swarm optimization algorithm that borrows ideas from recent developments in ant colony optimization. In th...
Mudassar Iqbal, Marco Antonio Montes de Oca
IPPS
2010
IEEE
15 years 2 months ago
Consistency in hindsight: A fully decentralized STM algorithm
Abstract--Software transactional memory (STM) algorithms often rely on centralized components to achieve atomicity, isolation and consistency. In a distributed setting, centralized...
Annette Bieniusa, Thomas Fuhrmann
CF
2006
ACM
15 years 11 months ago
Exploiting locality to ameliorate packet queue contention and serialization
Packet processing systems maintain high throughput despite relatively high memory latencies by exploiting the coarse-grained parallelism available between packets. In particular, ...
Sailesh Kumar, John Maschmeyer, Patrick Crowley