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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 9 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
COOPIS
2003
IEEE
16 years 23 hour ago
From Distributed Objects to Hierarchical Grid Components
We propose a parallel and distributed component framework for building Grid applications, adapted to the hierarchical, highly distributed, highly heterogeneous nature of Grids. Thi...
Françoise Baude, Denis Caromel, Matthieu Mo...
HPDC
2002
IEEE
15 years 11 months ago
Software Architecture-Based Adaptation for Grid Computing
Grid applications must increasingly self-adapt dynamically to changing environments. In most cases, adaptation has been implemented in an ad hoc fashion, on a perapplication basis...
Shang-Wen Cheng, David Garlan, Bradley R. Schmerl,...
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
16 years 7 days ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
ICWE
2003
Springer
15 years 12 months ago
Semi-automatic Assessment Process in a Ubiquitous Environment for Language Learning
This work presents a research on the methods and mechanisms necessary to bring the Information and Communication Technologies in the traditional classroom. This will be achieved by...
Maximiliano Paredes, Manuel Ortega, Pedro P. S&aac...