|
1 | 1 | --- |
2 | | -mediawiki: KNIME |
3 | | -title: KNIME |
| 2 | +title: KNIME Analytics Platform |
| 3 | +name: KNIME Analytics Platform |
4 | 4 | section: Explore:Software |
5 | 5 | icon: /media/icons/knime.svg |
6 | 6 | project-blurb: the KNIME Analytics Platform |
| 7 | +team-developers: KNIME team | https://www.knime.com/team |
| 8 | +team-maintainers: KNIME team | https://www.knime.com/team |
| 9 | +source-url: https://github.com/knime |
| 10 | +website: https://www.knime.com/ |
7 | 11 | doi: |
8 | 12 | - 10.3389/fcomp.2020.00008 |
9 | 13 | - 10.1016/j.jbiotec.2017.07.028 |
10 | 14 | - 10.1007/978-3-319-28549-8_7 |
11 | 15 | - 10.1007/978-3-540-78246-9_38 |
12 | 16 | --- |
13 | 17 |
|
| 18 | +The [KNIME Analytics Platform](https://www.knime.com/) is an open source data analytics, reporting and integration platform and application. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface allows assembly of nodes for data preprocessing (ETL: Extraction, Transformation, Loading), for modeling and data analysis and visualization. KNIME is an acronym for **K**o**n**stanz **I**nformation **M**in**e**r. |
14 | 19 |
|
15 | | -{% capture logo%} |
16 | | -{% include icon name='KNIME' size='78px' %} |
17 | | -{% endcapture %} |
18 | | - |
19 | | -{% capture source%} |
20 | | -{% include github org='knime-ip' repo='knip' %} |
21 | | -{% endcapture %} |
22 | | -{% include notice icon="info" content='Plugin' software='KNIME' name='KNIME Image Processing' logo=logo author=' [KNIME team](http://www.knime.org/team)' maintainer=' [KNIME team](http://www.knime.org/team)' source=source status='active' website='http://tech.knime.org/community/image-processing' %}[KNIME](http://knime.org/), the **K**o**n**stanz **I**nformation **M**in**e**r, is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface allows assembly of nodes for data preprocessing (ETL: Extraction, Transformation, Loading), for modeling and data analysis and visualization. |
23 | | - |
24 | | -The [**KN**IME **I**mage **P**rocessing](http://tech.knime.org/community/image-processing) extension, KNIP, provides ca. 100 nodes for (pre)-processing, filtering, segmentation, feature extraction, various views (2D, 3D), etc. and integrations for various other image processing tools are available. |
25 | | - |
26 | | -As part of the KNIP extension, there is an [ImageJ extension for KNIME](http://tech.knime.org/community/imagej) consisting of two basic parts: the support for [ImageJ](/software/imagej) macro execution and the integration of [ImageJ2](/software/imagej2) plugins as KNIME nodes. Both approaches are available as KNIME plugin (currently beta status). |
| 20 | +The [KNIME Image Processing](https://www.knime.com/community/image-processing) extension, nicknamed KNIP, provides ca. 100 nodes for (pre)-processing, filtering, segmentation, feature extraction, various views (2D, 3D), etc. and integrations for various other image processing tools are available. As part of KNIP, there is an [ImageJ extension for KNIME](https://www.knime.com/community/imagej) consisting of two basic parts: the support for [ImageJ](/software/imagej) macro execution, and the integration of [ImageJ2](/software/imagej2) plugins as KNIME nodes. Both approaches are available as KNIME plugins (currently beta status). |
27 | 21 |
|
28 | 22 | ## See also |
29 | 23 |
|
|
0 commit comments