article · International Research Journal of Modernization in Engineering Technology and Science · 2023
OPTIMIZING DATA PREPROCESSING: THE DATA PREPROCESSING INTERFACE
Yash Aparajit, Saurabh Sanap, Nikhil Kumar, Puranik, S Kotsiantis, D Kanellopoulos, P Pintelas, Y Dong, W Chen, H Xu, E Bertino, B Catania, E Damiani, P Perlasca, L Veltri
Cited by 0Open access
Abstract
Data preprocessing is a critical step in the data analysis process, with a direct impact on the quality of analytical outcomes. In this paper, we introduce the Data Preprocessing Interface, a web-based tool designed to enhance and streamline data preprocessing. This interface addresses the challenges associated with data cleaning, transformation, and organization by offering a user-friendly and efficient platform. We present the motivation behind our project, its methodology, and system architecture. Our research demonstrates the potential for significant improvements in data preprocessing, allowing data scientists and analysts to work with cleaner, more reliable data. The results not only highlight the expeditious data preprocessing but also emphasize the enhanced user experience. We conclude with insights into the future developments of the Data Preprocessing Interface.
Cite this paper
Aparajit, Y., Sanap, S., Kumar, N., Puranik, Kotsiantis, S., Kanellopoulos, D., Pintelas, P., Dong, Y., Chen, W., Xu, H., Bertino, E., Catania, B., Damiani, E., Perlasca, P., & Veltri, L. (2023). OPTIMIZING DATA PREPROCESSING: THE DATA PREPROCESSING INTERFACE. International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/irjmets46515
Aparajit, Yash, et al. “OPTIMIZING DATA PREPROCESSING: THE DATA PREPROCESSING INTERFACE.” International Research Journal of Modernization in Engineering Technology and Science, 2023, https://doi.org/10.56726/irjmets46515.
Aparajit, Yash, Saurabh Sanap, Nikhil Kumar, Puranik, S Kotsiantis, D Kanellopoulos, P Pintelas, et al. 2023. “OPTIMIZING DATA PREPROCESSING: THE DATA PREPROCESSING INTERFACE.” International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/irjmets46515.
Aparajit, Y. et al. (2023) ‘OPTIMIZING DATA PREPROCESSING: THE DATA PREPROCESSING INTERFACE’, International Research Journal of Modernization in Engineering Technology and Science. Available at: https://doi.org/10.56726/irjmets46515.
@article{aparajit2023optimizing,
title = {{OPTIMIZING DATA PREPROCESSING: THE DATA PREPROCESSING INTERFACE}},
author = {Aparajit, Yash and Sanap, Saurabh and Kumar, Nikhil and Puranik and Kotsiantis, S and Kanellopoulos, D and Pintelas, P and Dong, Y and Chen, W and Xu, H and Bertino, E and Catania, B and Damiani, E and Perlasca, P and Veltri, L},
journal = {International Research Journal of Modernization in Engineering Technology and Science},
year = {2023},
doi = {10.56726/irjmets46515}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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