Showing 9 open source projects for "decision analysis"

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  • Find out just how much your login box can do for your customer | Auth0 Icon
    Find out just how much your login box can do for your customer | Auth0

    With over 53 social login options, you can fast-track the signup and login experience for users.

    From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
  • EBizCharge Payment Platform for Accounts Receivable Icon
    EBizCharge Payment Platform for Accounts Receivable

    Getting paid has never been easier.

    Don’t let unpaid invoices limit your business’s growth. EBizCharge plugs directly into the tools your business already uses to speed up payment collection.
  • 1
    MYRA

    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
    Downloads: 0 This Week
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  • 2

    BBNanalysis

    Bayesian Belief Network Analysis & Validation

    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).
    Downloads: 0 This Week
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  • 3
    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.
    Downloads: 0 This Week
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  • 4

    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}.
    Downloads: 0 This Week
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  • Propelling Payments for Software Platforms Icon
    Propelling Payments for Software Platforms

    For SaaS businesses to monetize payments through its turnkey PayFac-as-a-Service solution.

    Exact Payments delivers easy-to-integrate embedded payment solutions enabling you to rapidly onboard merchants, instantly activate a variety of payment methods and accelerate your revenue — delivering an end-to-end payment processing platform for SaaS businesses.
  • 5
    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.
    Downloads: 0 This Week
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  • 6
    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.
    Downloads: 0 This Week
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  • 7
    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.
    Downloads: 0 This Week
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  • 8
    The project is a J2EE-based decision support sytem designed to be used in healthcare scenarios.
    Downloads: 0 This Week
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  • 9
    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.
    Downloads: 0 This Week
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  • Make Your Observability Stack Effortless Icon
    Make Your Observability Stack Effortless

    For Software Engineers, DevOps, Data Architects, and IT Leaders

    The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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