Open AccessPredicting the Probability of Bank Deposit Subscription
Author(s) -
Prof. Pallavi Patil,
Sanket J. More,
Askaan Shaikh,
Hitesh Patil,
Rajendra D. Patil
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41713
Subject(s) - attrition , portuguese , decision tree , business , marketing , set (abstract data type) , interpretation (philosophy) , computer science , data mining , medicine , philosophy , linguistics , dentistry , programming language
Recently, economic depression, which scoured all over the world, affects business organizations and banking sectors. Such an economic pose causes severe attrition for banks and customer retention becomes impossible. Accordingly, marketing managers are in need to increase marketing campaigns, whereas organizations evade both expenses and business expansion. To solve such a riddle, data mining techniques are used as an uttermost factor in data analysis, data summarizations, hidden pattern discovery, and data interpretation. In this paper, rough set theory and decision tree mining techniques have been implemented, using real marketing data obtained from a Portuguese marketing campaign related to bank deposit subscriptions.