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This project now lives at https://github.com/dwvisser/jam-daq-code/
Jam is an easy-to-use self-contained data acquisition and analysis system for VME-based (or CAMAC-based) nuclear physics experiments. Jam has an easy, standard GUI for taking and sorting multi-parameter event-based data into 1-d and 2-d histograms.
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values.
This project is now hosted at: https://github.com/febo/myra
Composer for OWL-S-based Semantic Web Services that can load SWRL-based Semantic Bridges to mediate between heterogeneous ontology concepts. Exports semantic. enh. BPEL code. Dependency to BerliOS-project: "sembpelext". Also see QualiPSo.org for details.
With the "xix" library, GATE functionality is available in XQuery (via an MXQuery extension). OpenCalais invocation is supported, too. -- Source code at http://sgv-jenkins-01.ethz.ch/job/xixlib/ws/-- "Show project details" for instruction
Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
RDF-DocMan is a document manager based on a Sesame (RDF repository) backend. Documents are stored in the filesystem and their metadata in a Sesame repository.
It was developed for porQual web content generator (also in sf.net).
febrl-gen is a Java-based frontend to Febrl, an open-source data linkage system written in Python. Users can configure the parameters of a linkage project through the frontend, and febrl-gen will generate a Febrl-ready configuration file.
SNNSraster is a utility for quick ANN analysis of raster GIS maps with the use of Stuttgart Neural Network Simulator trained network files. It was developed to read and write binary raster files.
SNNSraster is a project of the Geography Laboratory of the University of Siena. The code was developed by Giancarlo Macchi Jánica between 2006 and 2007. SNNSraster's fundamental objective is to improve the ability to integrate the use of artificial neural networks in GIS environments.
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Framework for storing and editing Forestry-related XML data, with a specialised graphical interface for each object type. Plug-in API for adding functionality. Coded in Java, uses WebStart for distribution, swing GUI, ~100k lines of code.
Sequence studio main package provides classes and interfaces for various kinds of sequence alignment. Differently from regular expressions it computes similarity with two initially unknown strings. Project page provides code generating applet.
** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html