@inproceedings{7056dee6ae32477c948434f36abd8ce8,
title = "Application of data mining in term deposit marketing",
abstract = "Term deposits are facing challenges from both economic pressure and marketing competition. There are a number of valuable studies concerning bank and deposit marketing. These studies mentioned the significance of customers and customer segmentation in bank and deposit marketing. However, problems like obsolescence of data, inadequate maps, lack of data and specific methods encounter in practical application of deposit market segmentation. This research adopts data mining techniques through SPSS Modeler to predict customers{\textquoteright} term deposit subscription behaviors and understand customers{\textquoteright} features to improve the effectiveness and accuracy of bank marketing.",
author = "Zhuang, {Q. R.} and Yao, {Y. W.} and O. Liu",
note = "Publisher Copyright: {\textcopyright} 2018 Newswood Limited. All rights reserved.; 2018 International MultiConference of Engineers and Computer Scientists, IMECS 2018 ; Conference date: 14-03-2018 Through 16-03-2018",
year = "2018",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
editor = "Oscar Castillo and Feng, {David Dagan} and A.M. Korsunsky and Craig Douglas and Ao, {S. I.}",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, IMECS 2018",
}