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ICDCS
2002
IEEE
14 years 1 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
CMSB
2010
Springer
13 years 3 months ago
Stochasticity in reactions: a probabilistic Boolean modeling approach
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
Sven Twardziok, Heike Siebert, Alexander Heyl
IADIS
2008
13 years 10 months ago
Towards A Model-Driven Engineering Approach of Data Mining
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
Jesús Pardillo, José Jacobo Zubcoff,...
SAC
2010
ACM
14 years 2 months ago
A semantic web-based approach for personalizing news
Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge ...
Kim Schouten, Philip Ruijgrok, Jethro Borsje, Flav...
SIGGRAPH
1997
ACM
14 years 1 months ago
A framework for realistic image synthesis
Our goal is to develop physically based lighting models and perceptually based rendering procedures for computer graphics that will produce synthetic images that are visually and ...
Donald P. Greenberg, Kenneth E. Torrance, Peter Sh...