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features
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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 Hektar?

Hektar is a cutting-edge, cloud-based platform focused on generative design, tailored specifically for the foundational phases of urban planning, pre-design, and schematic design initiatives. Developed by Parametric, this software equips architects and urban planners with the tools necessary to navigate the complexities inherent in pivotal design stages, ultimately enhancing their projects. By utilizing advanced evolutionary algorithms and artificial generative intelligence, Hektar converts broad user inputs into detailed, feasible designs along with precise cost estimates. Its comprehensive tools integrate both geometrical and geographical intelligence, allowing users to define critical features such as access points, construction exclusions, and personalized street configurations. Additionally, Hektar provides numerical controls for meticulous adjustments concerning various project aspects like building depth, the incorporation of greenery, and parking layouts. The platform initiates the analysis of complex factors such as lighting and sun exposure early in the design process, resulting in well-informed proposals that can adapt to diverse conditions. Through these capabilities, Hektar not only streamlines the design workflow but also promotes collaborative efforts among all stakeholders engaged in urban development projects, ultimately leading to more cohesive and innovative outcomes. This collaborative aspect is vital for ensuring that diverse perspectives are integrated into the planning process.

Media

Media

Integrations Supported

Mapbox
OpenStreetMap

Integrations Supported

Mapbox
OpenStreetMap

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€179 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

Parametric

Company Location

Sweden

Company Website

www.parametric.se/product/hektar

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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