Search Results for "decision analysis"

This tool is about a method called "process-oriented decision tables". These are decision tables but different from "normal" decision tables. They fix the flaws of traditional decision tables making it a joy to work with. But they keep all benefits of traditional decision tables. First of all they present the logic in a very dense form. 1. Explore all possible combinations of conditions and actions by question-and-answer. 2. Have a compact one-sheet-view on complex logic. 3...

This is a library for building decision tables and to get test specifications from it. More about decision tables and how this library works you'll find in the help files for the project JDecisiontable (which is an application build around this library): http://sourceforge.net/projects/jdecisiontable => Files => Help This library can give you decision table and test specifications as strings in json and csv format. The project JDecisiontable take this strings and save them as text files...

vRules4j--The best completely Object Oriented Java Object Validation/Decision Rule engine,which is born for taking over all validation responsibility in java business-enterprise industry and looking forward to providing Perfect/Lightweight solution.

COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub...

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...

Semantics Visualizations enable understanding complex matters in an easy way. The research group “Semantics Visualization” is working on processing, enriching, and visualizing any kind of semantic data to provide visually discoverable information. Thereby processes of knowledge acquisition, human information retrieval, and decision making are supported by a variety of interactive visual representations. The developed visualizations do not only allow to investigate the masses amount of various...

A tool for analysis of Bayesian Belief Networks/Decision Networks in Genie 2.0 (.xdsl) format. Developed as a part of the HELICOPTER project (http://www.helicopter-aal.eu).

JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.

PerMoTo is a Performance Modelling Tool suite for decision support in the capacity and performance management of distributed transaction processing systems based on Queueing Theory and Discrete Event Simulation.

PAULUS is an acronym for Planning Analysis of Urban Linkages within Urban Systems. Its purpose is to supply a web-based tool to document the decision processes in the Urban Planning domain.

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

The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.

TimeSleuth discovers temporal decision rules. It also judges the (a)causality of the rules. TimeSleuth can discover rules that involve time: {if (rainy_yesterday = true) then rainy_today = true}, or {if (rainy_tomorrow = true) then rainy_today = true}.

Evidence-based Guideline and Decision Support System. Provides patient specific point of care reminders in order to aid physicians provide high quality care. Input/output in the form of HL7 CDA Level 2 documents. Knowledge is encoded using Arden Syntax.

The Citizen Privacy Service is an asynchronous component using artificial intelligence capabilities including DL decidability and first order logic provenance that provide policy decision and policy enforcement points based on the US Privacy Act of 1974.

META is a decision making software which aims are to track computer attackers, computer attacks and to help investigators finding useful elements.

The project is a J2EE-based decision support sytem designed to be used in healthcare scenarios.

JMiner is a (not yet!) complete data mining and artificial intelligence solution written in Java. Support for neural networks, genetic algorithms/programming, decision trees, clustering, market basket analysis, link analysis, data cleansing, and others.

Decision Analysis is an easily-extensible expert system to help users make decisions of all types. Written entirely in Python, Decision Analysis, at this time, contains a general decsion module, which uses a weighted average technique to evaluate use

DTreeJungle provides educational applets to teach the concepts of decision trees for regular pattern recognition.

The Pattern Analysis Library (PALib) is a C++ class library for pattern classification/recognition. PALib consists of a wide range of machine learning routines such as Bayesian decision theory, artificial neural networks, and fuzzy inference systems.

WebDip is a platform for the tracking of information search in a psychological decision making experiment. It enables to run parallel experiments, with different search modes and comfortabel user management.

The project find to develop a easy tool for using Regional analysis techniques and Shift and Share Framework, for planning in regions and municipalities contributing to the decision making process through the use of analytical tools and approaches.

Value Benefit Analysis Tool is a small project, which provides a tool helping to perform a value benefit analysis. The Tool is written in JavaScript and HTML. The Value benefit analysis supports decision process in enterprises.

S.o.n.a.r. is an analysis- and visualization tool developed for the popular business network XING (www.xing.com). Registered XING users can search for companies and contact their personnel manager or other decision makers, i.e. for a job application.