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MLDM
2005
Springer
16 years 9 days ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
PVLDB
2010
150views more  PVLDB 2010»
15 years 5 months ago
DataGarage: Warehousing Massive Performance Data on Commodity Servers
Contemporary datacenters house tens of thousands of servers. The servers are closely monitored for operating conditions and utilizations by collecting their performance data (e.g....
Charles Loboz, Slawek Smyl, Suman Nath
MICRO
2003
IEEE
147views Hardware» more  MICRO 2003»
16 years 2 days ago
Flexible Compiler-Managed L0 Buffers for Clustered VLIW Processors
Wire delays are a major concern for current and forthcoming processors. One approach to attack this problem is to divide the processor into semi-independent units referred to as c...
Enric Gibert, F. Jesús Sánchez, Anto...
SDM
2007
SIAM
98views Data Mining» more  SDM 2007»
15 years 8 months ago
Lattice based Clustering of Temporal Gene-Expression Matrices
Individuals show different cell classes when they are in the different stages of a disease, have different disease subtypes, or have different response to a treatment or envir...
Yang Huang, Martin Farach-Colton
CCGRID
2006
IEEE
16 years 26 days ago
The Signal Data Explorer: A High Performance Grid based Signal Search Tool for use in Distributed Diagnostic Applications
We describe a high performance Grid based signal search tool for distributed diagnostic applications developed in conjunction with Rolls-Royce plc for civil aero engine condition ...
Martyn Fletcher, Tom Jackson, Mark Jessop, Bojian ...