DEVELOPING A COMPUTATIONAL FRAMEWORK FOR PREDICTING TERM-DEPOSIT FOR CUSTOMER SUBSCRIPTION

Rishita Tyagi

Vol. 5, Jan-Dec 2019

Page Number: 215 - 223

Abstract:

Telephonic selling campaigns are perhaps the best approaches to contact people to sell items, however numerous a periods or more often than not are squandered on clients that needn't bother with the things. Yet, this algorithm, dependent on the information, can tell if the client will purchase the term store precisely, which lessens the time wastage and expands productivity.

References

• Nasteski, Vladimir. (2017). An overview of the supervised machine learning methods. HORIZONS.B. 4. 51-62. 10.20544/HORIZONS.B.04.1.17.P05.
• S. Chowdhury and M. P. Schoen, 'Research Paper Classification using Supervised Machine Learning Techniques,' 2020 Intermountain Engineering, Technology and Computing (IETC), 2020, pp. 1-6, doi: 10.1109/IETC47856.2020.9249211.
• https://corporatefinanceinstitute.com/resources/knowledge/finance/regression-analysis/last accessed on 19/April/2021
• WEKA Explorer: Visualization, Clustering, Association Rule Mining. Software Testing Help. (2021, May 25). https://www.softwaretestinghelp.com/weka-explorer-tutorial/.
• Rushdishams. (2021,May 25). Weka Tutorial 03: Classification 101 using Explorer (Classification). YouTube. https://www.youtube.com/watch?v=bPrTeUAS6_I
• UCI Machine Learning Repository. (2021, May 25). https://archive.ics.uci.edu/ml/index.php.
• Bhargava, N., Girja Sharma, Ritu Bhargava and M. Mathuria. “Decision Tree Analysis on J48 Algorithm for Data Mining.” (2013).
• Kumar Gaurav, Aditya Negi, 'Prediction System for Customer Subscription to The Term Deposit', International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 7 Issue 4, pp. 230-234, July-August 2021. Journal URL : https://ijsrcseit.com/CSEIT217449

Back Download