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What is Bank Marketing Data Mining with CRISP-DM about?

This document summarizes a research paper that uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework to build predictive models for classifying bank customers using marketing campaign data. Specifically, it uses multilayer perceptron and logistic regression techniques to classify customers as potential or non-potential subscribers based on their attributes. The goal is to help banks improve marketing campaign efficiency and target potential customers. The paper reviews literature on

Author

Lokesh Anandan

Language

EN