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features
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Description

KEEL (Knowledge Extraction based on Evolutionary Learning) is a Java-based open-source software tool licensed under GPLv3 that facilitates a diverse array of knowledge data discovery tasks. Featuring an intuitive graphical user interface that emphasizes data flow, KEEL enables users to design experiments incorporating various datasets and computational intelligence algorithms, with a particular focus on evolutionary algorithms, to evaluate their effectiveness. The software encompasses an extensive range of traditional knowledge extraction techniques, data preprocessing methods—including training set selection, feature selection, discretization, and imputation for missing values—as well as computational intelligence learning algorithms, hybrid models, and statistical methods for experiment comparison. This comprehensive suite allows researchers to conduct thorough analyses of innovative computational intelligence approaches in relation to established methods. Furthermore, KEEL has been specifically crafted to serve dual purposes: advancing research and enhancing educational outcomes in the field. Its versatility makes it an invaluable resource for both academic and practical applications in knowledge discovery.

Description

We engage in pioneering research on artificial intelligence to attain significant advantages in financial investment, shedding light on the market through innovative neuro-prediction techniques. Our approach integrates advanced deep reinforcement learning algorithms and graph-based learning with artificial neural networks to effectively model and forecast time series data. At Neuri, we focus on generating synthetic data that accurately reflects global financial markets, subjecting it to intricate simulations of trading behaviors. We are optimistic about the potential of quantum optimization to enhance our simulations beyond the capabilities of classical supercomputing technologies. Given that financial markets are constantly changing, we develop AI algorithms that adapt and learn in real-time, allowing us to discover relationships between various financial assets, classes, and markets. The intersection of neuroscience-inspired models, quantum algorithms, and machine learning in systematic trading remains a largely untapped area, presenting an exciting opportunity for future exploration and development. By pushing the boundaries of current methodologies, we aim to redefine how trading strategies are formulated and executed in this ever-evolving landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Keel

Website

www.keel.es/

Vendor Details

Company Name

Neuri

Founded

2018

Country

Singapore

Website

www.neuri.ai/

Product Features

Data Mining

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

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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