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Description
Years of hands-on research in machine learning, particularly within the finance sector and associated fields, have enabled us to advance the boundaries of effective forecasting and risk management. This progress encompasses both technological innovations and data science methodologies. While developments in artificial intelligence continue to evolve, we remain cautious of universal forecasting solutions that claim to suit all scenarios. Instead, we focus on crafting tailored solutions that perform exceptionally well in their specific environments. Our approach integrates established principles from diverse fields such as signal processing, information theory, evolutionary algorithms, deep neural networks, and ensemble methods, all grounded in rigorous traditional statistics and data science practices. Furthermore, our techniques routinely generate probability distributions that detail every conceivable outcome, facilitating comprehensive risk assessments and the measurement of rare or "black swan" occurrences, ultimately enhancing decision-making processes. Through this commitment to customization and robust analysis, we strive to address the unique challenges faced by our clients.
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.
API Access
Has API
API Access
Has API
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
ForecastThis
Country
United Kingdom
Website
www.subjectivesystems.com/forecastthis
Vendor Details
Company Name
Keel
Website
www.keel.es/
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Investment Management
Accounting Management
Benchmarking
Bonds / Stocks
Client Management
Commodities
Compliance Reporting
Data Import / Export
For Investment Advisors
For Investors & Traders
Fund Management
Modeling & Simulation
Payroll & Commissions
Performance Metrics
Portfolio Management
Risk Management
Product Features
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining