Search Results for "decision analysis"
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Showing 30 open source projects for "decision analysis"
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Orange Data Mining
Orange: Interactive data analysis
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. ... -
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PyMC
Bayesian Modeling and Probabilistic Programming in Python
PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling. -
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NaveGo
NaveGo: an open source MATLAB/GNU Octave toolbox for processing integr
NaveGo is an open source MATLAB/GNU Octave toolbox designed for processing integrated navigation systems, simulating inertial sensors and GNSS receivers, and profiling inertial sensors using methods like Allan variance—providing a community-driven simulation framework for navigation system design and analysis. I am reaching out to share an important update regarding the NaveGo project. Due to a shift in both my professional career and personal interests away from navigation systems, I have made the difficult decision to step down from my role as the lead developer of NaveGo. Effective immediately, NaveGo will transition to a community-driven project. ... -
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JDecisiontable
Stop to rack your brain, start using process-oriented decision tables!
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. ... -
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JDecisiontableLib
A library for creating decision tables written in Java.
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... -
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COHCAP
City of Hope CpG Island Analysis Pipeline
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. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download -
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Active Intelligence Server
Reporting, Dashboarding, Analytic, Self-service BI, Ad-hoc reporting
Active Intelligence Server 2 (AIS) is a data visualization tool and fully featured reporting server which enable users from open source community to host any reports created using BIRT, Jasper and Pentaho community edition allowing organization to leverage open source technologies and enable them to use AIS as a reporting server to deploy their existing and new reports seamlessly onto AIS for secure sharing the information in different file formats and schedule to make system automation and... -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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MYRA
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 -
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SemaVis (Flex UI)
Semantics Visualization for Information Visualization and Analysis
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... -
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Priority Estimation Tool (AHP)
PriEsT is a decision making tool for Analytic Hierarchy Process (AHP).
Priorty Estimation Tool (PriEsT) is a decision analysis tool. You can use it for ranking the options you have, or alternatively, you may use it for resource allocation (budgeting) problems. In PriEsT, you enter a list of available options and then define your criteria for prioritization. After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights). -
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ExAM-Exome_Analysis_And_Mining
A whole exome sequencing analysis package and its graphical interface
...However, these data remain difficult to analyze and interpret by the general scientific community, due to the limited bioinformatics resources that are currently freely available for their analysis and the partial information that they provide. Here, we present an interactive and free analysis package, ExAM, dedicated to whole exome sequencing data analysis. It is accessible to non-computer scientists and provides a complete set of information, as well as decision support to prioritize candidate disease causing variants. -
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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.
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The Community Health Information Tracking System (CHITS) integrates public health vertical program information and presents a unified view of data for decision-making.
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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.
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The Minervan project aims at aiding intelligent software development. It integrates reporting, analysis and data mining to support better decision making.
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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.
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TimeSleuth - Temporal Rule Discovery
Temporal and Causal Decision Rules
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}. -
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A Trial Workbench for Facilitating Best Practices from Prospective to Acute Care in Respiratory Medicine. We aim to provide a set of information management toolboxes that facilitates decision support applications in medical information systems.
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Zabal6 is a machine learning student tool based on decision tree learning, focused in the area of knowledge discovery (data mining), and inspired on See5. Zabl6 is a C++ program for Linux and windows O.S, with a intuitive graphical interface.
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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.
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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.
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META is a decision making software which aims are to track computer attackers, computer attacks and to help investigators finding useful elements.
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