Edit Data mining and learning analytics tools: Knime

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**IDENTIFICATION**
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**SHORT DESCRIPTION**
KNIME is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes). The open source version [http://www.knime.org/knime claims to implement] a very rich platform: {{quotation\|The KNIME Analytics Platform incorporates hundreds of processing nodes for data I/O, preprocessing and cleansing, modeling, analysis and data mining as well as various interactive views, such as scatter plots, parallel coordinates and others. It integrates all of the analysis modules of the well known [[Weka]] data mining environment and additional plugins allow R-scripts to be run, offering access to a vast library of statistical routines.}}

**ABOUT TOOL**
Tool orientation:
Objective(s):
Tool is made for:
Data manipulation type:
Data import format: Once registered form, specified format(s) will appear in the selection list above and will become available for every users Add format(s): Data export format: Once registered form, specified format(s) will appear in the selection list above and will become available for every users Add format(s):
Type of data extraction tool:
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Type of visualisation: Visualisation characteristics:
Tool usability: None/unknown

**ABOUT USER**
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KNIME includes text processing facilities that are [https://tech.knime.org/documentation-3 documented here] (12/2014) and in more detail in a [https://tech.knime.org/files/knime_text_processing_introduction_technical_report_120515.pdf Technical Report: The KNIME Text Processing Feature: An Introduction] # IO: reading and parsing # Enrichment: named entity recognition # Preprocessing: filtering and manipulation # Frequencies: word counting and keyword extraction # Transformation: bow and vector representation # Visualization: tag cloud

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