 | |
| Developer(s) | KNIME |
|---|---|
| Stable release | 5.3
/ July 10, 2024[1] |
| Repository | |
| Written in | Java |
| Operating system | Linux, macOS, Windows |
| Available in | English |
| Type | Guided Analytics / Enterprise Reporting / Business Intelligence / Data Mining/ Deep Learning / Data Analysis / Text Mining / Big Data |
| License | GNU General Public License |
| Website | www |
KNIME (/naɪm/ ), the Konstanz Information Miner,[2] is a free and open-source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with minimal, programming.[citation needed]
Since 2006, KNIME has been used in pharmaceutical research,[3] and in other areas including CRM customer data analysis, business intelligence, text mining and financial data analysis. Recently, attempts were made to use KNIME as robotic process automation (RPA) tool.[4][when?]
KNIME's headquarters are based in Zurich, with additional offices in Konstanz, Berlin, and Austin (USA).[citation needed]
- ^ "What's New in KNIME Analytics Platform 5.3". knime.com.
- ^ Berthold, Michael R.; Cebron, Nicolas; Dill, Fabian; Gabriel, Thomas R.; Kötter, Tobias; Meinl, Thorsten; Ohl, Peter; Thiel, Kilian; Wiswedel, Bernd (16 November 2009). "KNIME - the Konstanz information miner" (PDF). ACM SIGKDD Explorations Newsletter. 11 (1): 26. doi:10.1145/1656274.1656280. S2CID 408188.
- ^ Tiwari, Abhishek; Sekhar, Arvind K.T. (October 2007). "Workflow based framework for life science informatics". Computational Biology and Chemistry. 31 (5–6): 305–319. doi:10.1016/j.compbiolchem.2007.08.009. PMID 17931570.
- ^ "KNIME Analytics Platform Bot".,