Open Source Information Analysis Software - Page 24

Model workflow system with Colored Petri Net(CPN) and support resource patterns suggested in Mr Van der Aalst's paper Modeling Work Distribution Mechanisms Using Colored Petri Net

In this project, we want to give a user-friendly implementation of the ensemble methodology through the deployment of some nodes for the KNIME environment.

Entity Modeled Components (EMC) are visual and interactive components that are auto-generated for a given entity class. Tables, Lists, XML Data Stores, Data Entry Forms, Graph Charts are few of the planned components.

The Environment State Virtual Sensors for Android is a library that allows recognition of environmental scenarios in which an Android device can be found. The basic scenarios types are: Motion states, Noise states, Proximity state, ringer-mode state.

EDAS2 is a web-based environmental quality data management and decision support framework

ESSE is a flexible, efficient and easy to use search engine for data mining in environmental data archives. ESSE will help you find useful data even if you don't know exactly what you are looking for.

Equalculator is an equation calculator. It is currently in the "pre-alpha" stage of development, so don't expect it to do miracles. You type in your equation, it will ask you for the variables and Voila!, it gives you the answer.

ESTADISTICA EN MICROCOMPUTADORES

Eureka is a software for information processing. It can be used by scientists, students, journalists or writer to organize their work. Eureka can work with multiple sources of information : Web pages, HTML contents indexation, books notes.

Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.

Ex-Crawler is divided into 3 subprojects (Crawler Daemon, distributed gui Client, (web) search engine) which together provide a flexible and powerful search engine supporting distributed computing. More informations: http://ex-crawler.sourceforge.net

ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model.

ExpLab is a set of tools that supports the running, documentation and evaluation of computational experiments.

A web-based experiment presenting system to present images to subjects along with a question and to record their responses

An Expert Search System for Enterprise Search based on the Information Retrieval Vector Space Model. Our model builds a weighted profile for each candidate and keeps all the documents, thus allowing to retrieve both people and documents together.

Exporter - A database and dataminig tool (coded in Java)

Exscalibar is an EXtendable, SCalable Architecture for Live, Interactive or Batch-orientated Audio-signal Refinement.

EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.

The Functional Annotation and Correlation Tool allows the meta-analysis of data from high-throughput experiments (typically microarrays) by annotating (clones, genes, GeneOntology, location, etc.) and correlating data sets to identify important patterns.

The FAKE GAME tool uses natural evolution to evolve Data Mining models. It incorporates several preprocessing, optimization and visualization methods aimed to streamline the Knowledge Discovery process. Knowledge Extraction from data is being automated!

Assists users to analyse and select players in Australian Football League (AFL) based football fantasy competitions. Displayed in a Java Swing GUI, users can sort and filter players based on many statistical categories.

The Fiber project seeks to create a modular open source text mining tool that provides a contextual foundation for analysis in the dissemination of large quantities of text data.

FLPD is an automatic learning system based on fuzzy prototypes, composed of a C++ library for machine learning and fuzzy logic and an experimentation framework.

FONZIE is a bioinformatic tool written in Python developed for the genetic cartography speciality. FONZIE allow as well to find markers on a set of sequences than to find associate oligonucleotides. http://www.biomedcentral.com/1756-0500/3/322/abstra

Its a model fitting framework which optimizes the model parameters to make the model output match the desired data.