Knime

DM & LA Portal > Form: Data mining and learning analytics tools

Knime 2.9.1 (2014/01/15)

Developed by: KNIME.com AG
License: GPL / GNU General Public License
Web page : Tool homepage
Tool type : Application software

The last edition of this page was on: 2014/12/18

The Completion level of this page is : Low

The last edition of this page was on: 2014/12/18 The Completion level of this page is : Low

SHORT DESCRIPTION

[[has 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 claims to implement a very rich platform: "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."]]

TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is '.

Tool orientation

This tool is designed for general purpose analysis.

Data mining type

This tool is made for Structured data mining, Text mining.

Manipulation type

This tool is designed for Data extraction, Data transformation, Data analysis, Data visualisation.

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IMPORT FORMAT :

EXPORT FORMAT :

Tool objective(s) in the field of Learning Sciences

☑ Analysis & Visualisation of data
☑ Predicting student performance
☑ Student modelling
☑ Social Network Analysis (SNA)
☑ Constructing courseware

☑ Providing feedback for supporting instructors:
☑ Recommendations for students
☑ Grouping students:
☑ Developing concept maps:
☑ Planning/scheduling/monitoring
☑ Experimentation/observation

Tool can perform:

* Data extraction of type:

* Transformation of type: Simple data transformation operations, Advanced data transformation operations, Mathematical transformation of data for analysis
* Data analysis of type: Basic statistics and data summarization, Data mining methods and algorithms

* Data visualisation of type: (These visualisations can be interactive and updated in "real time")

ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers

Teachers/Tutors/Managers

Researchers

Developers/Designers

Organisations/Institutions/Firms

Others

Required skills:

STATISTICS:  Medium

PROGRAMMING:  Basic

SYSTEM ADMINISTRATION:  Basic

DATA MINING MODELS:  Medium

FREE TEXT

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Tool version : Knime 2.9.1 2014/01/15
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Developed by : KNIME.com AG
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Tool Web page : http://www.knime.org/
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Tool type : Application software
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License:GPL / GNU General Public License

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## Contents

* 1 SHORT DESCRIPTION
* 2 TOOL CHARACTERISTICS
* 3 ABOUT USER
* 4 OTHER TOOL INFORMATION

## SHORT DESCRIPTION[edit source]

* * *

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 claims to implement a very rich platform: "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."

## TOOL CHARACTERISTICS[edit source]

* * *

Tool orientation | Data mining type | Usability

|
|

This tool is designed for general purpose analysis. | This tool is designed for Structured data mining, Text mining. | Authors of this page consider that this tool is .
Data import format | Data export format

|

. | .

Tool objective(s) in the field of Learning Sciences

☑ Analysis & Visualisation of data
☑ Predicting student performance
☑ Student modelling
☑ Social Network Analysis (SNA)
☑ Constructing courseware

☑ Providing feedback for supporting instructors:
☑ Recommendations for students
☑ Grouping students:
☑ Developing concept maps:
☑ Planning/scheduling/monitoring
☑ Experimentation/observation

Can perform data extraction of type:

Can perform data transformation of type:
Simple data transformation operations, Advanced data transformation operations, Mathematical transformation of data for analysis

Can perform data analysis of type:
Basic statistics and data summarization, Data mining methods and algorithms

Can perform data visualisation of type:
(These visualisations can be interactive and updated in "real time")

## ABOUT USER[edit source]

* * *

Tool is suitable for:

Students/Learners/Consumers:☑ | Teachers/Tutors/Managers:☑ | Researchers:☑ | Organisations/Institutions/Firms:☑ | Others:☑
Required skills:

Statistics: MEDIUM | Programming: BASIC | System administration: BASIC | Data mining models: MEDIUM

## OTHER TOOL INFORMATION[edit source]

* * *

Knime.jpg
KNIME logo white.png
Knime
GPL / GNU General Public License
Free&Open source
KNIME.com AG
2014/01/15
2.9.1
http://www.knime.org/
[[has 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 claims to implement a very rich platform: "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."]]

General analysis
Developers/Designers, Researchers
Medium
Basic
Basic
Medium
Application software
Structured data mining, Text mining
Data extraction, Data transformation, Data analysis, Data visualisation
Basic statistics and data summarization, Data mining methods and algorithms
Simple data transformation operations, Advanced data transformation operations, Mathematical transformation of data for analysis
Low

KNIME includes text processing facilities that are documented here (12/2014) and in more detail in a Technical Report: The KNIME Text Processing Feature: An Introduction

1. IO: reading and parsing
2. Enrichment: named entity recognition
3. Preprocessing: filtering and manipulation
4. Frequencies: word counting and keyword extraction
5. Transformation: bow and vector representation
6. Visualization: tag cloud