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What is Keel?

KEEL, which stands for Knowledge Extraction based on Evolutionary Learning, is an open-source software tool developed in Java and licensed under GPLv3, aimed at supporting a wide range of knowledge data discovery tasks. It features a user-friendly graphical interface that prioritizes data flow, allowing users to create experiments that utilize different datasets and computational intelligence algorithms, particularly those based on evolutionary strategies, to assess their performance. The software offers a broad spectrum of standard knowledge extraction methodologies, as well as data preprocessing techniques—such as training set selection, feature selection, discretization, and imputation for missing values—alongside various computational intelligence learning algorithms, hybrid models, and statistical methods for comparing experimental results. This all-encompassing toolkit enables researchers to perform in-depth analyses of novel computational intelligence strategies against traditional approaches. Moreover, KEEL has been intentionally designed to fulfill two main objectives: to promote research advancement and to improve educational experiences in the domain of knowledge discovery. Its adaptability and functionality make it an essential tool for both scholarly pursuits and real-world applications in the field of knowledge extraction. Ultimately, the ongoing development of KEEL ensures that it remains relevant and effective for its users.

What is Amazon Braket?

Seamlessly engage with a variety of quantum computing platforms and simulators via a cohesive suite of development tools. Initiate quantum projects within a dependable cloud setting that offers clear pricing and streamlined management for both quantum and classical operations. Improve the performance of hybrid quantum-classical algorithms by gaining prioritized entry to quantum systems, eliminating the need to handle classical infrastructure. Access exclusive device usage and connect directly with quantum computing specialists through Braket Direct to enhance your projects. Drive scientific progress with specialized tools designed for algorithm development while taking advantage of the AWS Cloud Credit for Research Program. Discover groundbreaking innovations in quantum hardware with easy access to a diverse array of devices, including superconducting, trapped ion, and neutral atom technologies. Launch quantum computing software efficiently in the market using Amazon Braket’s software development kit, which comes with straightforward pricing and effective workflow management. This all-encompassing approach empowers researchers and developers, providing them with the necessary resources to thrive in the rapidly advancing realm of quantum technology. By leveraging these tools and connections, users can significantly contribute to the future of quantum research and application.

Media

Media

Integrations Supported

Amazon Web Services (AWS)

Integrations Supported

Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.08000 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Keel

Company Website

www.keel.es/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/braket/

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Categories and Features

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