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A OWL reasoning framework for the analysis of big biomedical data
A general OWL reasoning framework for the analysis of big biomedical data and implement a MapReduce-based property chain reasoning prototype system. OWL reasoning method is ideally suitable for problems involved complex semantic associations because it is able to infer logical consequences based on a set of asserted rules or axioms. MapReduce framework isused to solve the problem of scalability. In our experiment, we focus on the discovery of associations between Traditional Chinese Medicine...
Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.
Sleepwalker aims to provide a highly abstract, universal, reusable, extensible Java-based genetic algorithms framework which can be used as a basis for modelling and programming virtually any practical optimisation problem.
FastAOP is an very high performant AOP (Aspect Oriented Programming) framework for java. The framework was initially
developped to support performance profiling and monitoring for large J2EE applications with nearly no runntime overhad.
Announcement: jp-mobile and fastAOP will go mobile, please visit jp-mobile (GWT based) website at: http://code.google.com/p/jp-mobile/
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The Gene Expression ProgrammingFramework in Java.
It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.
The Distributed Genetic ProgrammingFramework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
Simple genetic programmingframework. Features a robust set of interfaces and standard implementations for rapid development and ease of experimentation.