cleanTS - a tool funded by Google Summer of Code (GSoC) - 2021 is now published in Neurocomputing (Elsevier) journal
This post is an update on my recent publication on cleanTS package
I am glad to share that our R package cleanTS is now accepted for publication in Neurocomputing (Elsevier) journal. This is a recent package joining the league of Automated Machine Learning (AutoML) tools contributed by me and my teams. While working on huge and voluminous time-series datasets, I felt that there is a need to automate the processes of data cleaning, and this led to the concept of cleanTS.
This package was funded by Google Summer of Code (GSoC) - 2021, co-mentored by Prof. Andres Feijoo from the University of Vigo, Spain, and programmed in R by Mr. Mayur Kishor Shende from Defense Institute of Advanced Technology, Pune, India. I heartily congratulate both of them for their efforts and valuable open-source contributions in the field of Machine Learning and Data Science.
The details of cleanTS @ GSoC-2021 are available here and here.
cleanTS package is available on CRAN, and it can be accessed through its Shiny app:
Please click on three parallel lines on left-top of the Shiny panel for better visualization.
The manuscript describing the cleanTS package is now accepted for publication in Neurocomputing (Elsevier) journal, and it is available online with DOI: 10.1016/j.neucom.2022.05.057. It can also be accessed through its arXiv copy.
My team is dedicated to expanding the features of all our AutoML tools (imputeTestbench, ForecastTB, cleanTS, GuessCompx), and new contributors are always welcome to the team. Please feel free to contact me.
