Skip to content

this repository can be used to run and analyse their data as described in the Di-Plast project.

License

Notifications You must be signed in to change notification settings

cslab-hub/DataAnalytics_Diplast

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

99 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Data Analytics Di-Plast

In the current developments towards a smart industry (4.0), more and more data is collected concerning your operation processes. Insights in the data could contribute to improving these processes. After getting the data from your systems, and validating it with help of the Data Validation tool, the Process Data Analytics tools provides insights consisting of reports, visualizations and other analysis methods that describe the state of your processes and/or machinery. The process analytics tool consists of several data analytics modules that describe and analyse the underlying process data. In this tool, we strive to perform data science techniques such as classification, clustering and pattern mining accompanied by visualizations. Within the tool, we focus on the analyzing Time Series data.

This repository can be used to run and analyse their data as described in the Di-Plast project. To use the tool, please carefully read the descriptions written in the .docx file.

The Data Analytics tool is funded by the Interreg North-West Europe program (Interreg NWE), project Di-Plast - Digital Circular Economy for the Plastics Industry (NWE729, https://www.nweurope.eu/projects/project-search/di-plast-digital-circular-economy-for-the-plastics-industry/).

Disclaimer of Warranty

There is no warranty for the program, to the extent permitted by applicable law. Except when otherwise stated in writing the copyright holders and/or other parties provide the program “as is” without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the program is with you. should the program prove defective, you assume the cost of all necessary servicing, repair or correction.

Limitation of Liability

In no event unless required by applicable law or agreed to in writing will any copyright holder, or any other party who modifies and/or conveys the program as permitted above, be liable to you for damages, including any general, special, incidental or consequential damages arising out of the use or inability to use the program (including but not limited to loss of data or data being rendered inaccurate or losses sustained by you or third parties or a failure of the program to operate with any other programs), even if such holder or other party has been advised of the possibility of such damages.

About

this repository can be used to run and analyse their data as described in the Di-Plast project.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •