Sciweavers

969 search results - page 67 / 194
» Clustering performance data efficiently at massive scales
Sort
View
115
Voted
CLUSTER
2009
IEEE
15 years 5 months ago
A scalable and generic task scheduling system for communication libraries
Abstract—Since the advent of multi-core processors, the physionomy of typical clusters has dramatically evolved. This new massively multi-core era is a major change in architectu...
François Trahay, Alexandre Denis
73
Voted
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 1 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
121
Voted
WWW
2009
ACM
16 years 1 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
EMSOFT
2008
Springer
15 years 2 months ago
A generalized static data flow clustering algorithm for mpsoc scheduling of multimedia applications
In this paper, we propose a generalized clustering approach for static data flow subgraphs mapped onto individual processors in Multi-Processor System on Chips (MPSoCs). The goal ...
Joachim Falk, Joachim Keinert, Christian Haubelt, ...
ICML
2009
IEEE
16 years 1 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin