KNIME - 数据挖掘工具
KNIME Analytics Platform
KNIME Analytics Platform®是面向数据驱动的开源解决方案,可帮助您发现隐藏在数据中的潜力,挖掘新鲜见解或预测新的未来。
KNIME由康斯坦茨大学的软件工程师们研发,我们的开源平台部署速度快,易于扩展和可以直观地学习。
KNIME Analytics Platform拥有1500个模块,数百个可立即运行实例,集成的工具,以及高等算法,是数据科学家的理想工具箱。
开放源代码?是的,KNIME坚信该平台需要开源。KNIME平台深受用户的好评,它提供的模块化与便利的操作环境,可以用直观的方式整合,转换,分析大量的数据。在生命科学领域中,KNIME已经成为整合众多第三方软件常用的工作流。
KNIME Server
KNIME Server旨在帮助团队更好的一起工作。从小团体到大公司,KNIME Server将KNIMI分析平台的功能将个人数据科学家与其他同事连接。它提供各种协作,部署和自动化功能,为您提供更多自由和灵活性。
KNIME扩展KNIME Extensions and KNIME Supported Extensions
KNIME的很多扩展中都集成了其他的开源项目。KNIME支持的扩展将众多开源项目到KNIME Analytics Platform中。它们主要由KNIME团队维护。
【英文介绍】
KNIME® Analytics Platform
KNIME Analytics Platform is the leading open solution for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. Our enterprise-grade, open-source platform is fast to deploy, easy to scale, and intuitive to learn.
With more than 1500 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, the KNIME Analytics Platform is the perfect toolbox for any data scientist. Our focus on unrestricted open source is your passport to a global community of data scientists, their expertise, and their active contributions.
Open source? Yes. KNIME strongly believes that the platform needs to be open source and free.
KNIME® Server
KNIME Server is built to help teams work better together. From small groups to global companies, KNIME Server extends the power and flexibility of the KNIME Analytics Platform beyond individual data scientists to everyone in your company. It provides various collaboration, deployment, and automation functionalities, giving you more freedom and flexibility.
KNIME Extensions and KNIME Supported Extensions
Among the many KNIME extensions are integrations with prominent open source projects. KNIME Supported Extensions are integrations of well-known open-source projects into the KNIME Analytics Platform. These are primarily maintained by the KNIME team but the main functionality depends, of course, on the great contributions from others - thank you!
- 2024-12-09
- 2024-12-03
- 2024-12-03
- 2024-11-27
- 2024-11-19
- 2024-11-12
- 2024-12-09
- 2024-12-06
- 2024-12-05
- 2024-12-05
- 2024-12-04
- 2024-12-04