IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"
Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.
Hoea is a python module for hierarchical ontology enrichment analysis, which facilitated GO (Gene Ontology)/KO (KEGG Orthology) enrichment analysis at any desktop.
Ida is a data analysis application framework that features user interface integration, database support, and bridges to popular statistical analysis packages. Application development is currently focused on the bio-informatic analysis of microarrays.
Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
Tool for extracting structured information from Estonian language
A lot of information is available in form of unstructured free texts. Pattern based fact extraction is one possible approach of information retrieval, which tries to extract information in structured form that is usable by other data mining algorithms. This software allows to build and apply models for extracting examples of different relations for Estonian language. A relation can describe any link between entities in the text. For instance, a birthday relation describes the connection between persons and their birth dates. Features: - preprocessing scripts with deep linguistic analysis - GUI tool for making manual annotations, additionally using active learning to speed up the process - scripts for training and applying relations on different corpora - simple web front-end with embedded server for making using the software more convenient for users
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
The goal of this project is to develop a Python tool to make an in-depth quantitative analysis about Wikipedia, generating graphics and statistical results for each language version of Wikipedia.
Important support for JR project. Package for spacial data. Eclipse plugin. Integration with weka
Main part of JR (Java R) Project. Implementation of R language and platform with Java. 4 tiers J2EE architecture with jboss. UI: Swing and Web Business: weka support, Jboss seam Persistant: OR Mapping, Jboss Hibernate Data: JDBC support.