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KDD
1999
ACM
104views Data Mining» more  KDD 1999»
15 years 10 months ago
Learning Rules from Distributed Data
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowye...
DAWAK
2006
Springer
15 years 9 months ago
Learning Classifiers from Distributed, Ontology-Extended Data Sources
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
APBC
2003
123views Bioinformatics» more  APBC 2003»
15 years 7 months ago
A Platform for the Description, Distribution and Analysis of Genetic Polymorphism Data
In this paper we suggest the requirements for an open platform designed for the description, distribution and analysis of genetic polymorphism data. This platform is discussed in ...
Greg D. Tyrelle, Garry C. King
FGCS
2007
106views more  FGCS 2007»
15 years 5 months ago
Distributed data mining services leveraging WSRF
The continuous increase of data volumes available from many sources raises new challenges for their effective understanding. Knowledge discovery in large data repositories involv...
Antonio Congiusta, Domenico Talia, Paolo Trunfio
GLOBECOM
2006
IEEE
16 years 6 hour ago
Performance Analysis of Frame Synchronization for Non-Uniformly Distributed Data Symbols
Abstract— Frame synchronization is classically treated in literature for equiprobable data symbols. In this case the optimum metric has been derived both in the case of periodica...
Marco Chiani, Maria G. Martini