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. ...

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...

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

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...

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.

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.

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

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.

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

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.

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.