All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Modelling bank customer behaviour using feature engineering and classification techniques

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F23%3A39920844" target="_blank" >RIV/00216275:25410/23:39920844 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0275531923000399" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0275531923000399</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ribaf.2023.101913" target="_blank" >10.1016/j.ribaf.2023.101913</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling bank customer behaviour using feature engineering and classification techniques

  • Original language description

    This study investigates customer behaviour and activity in the banking sector and uses various feature transformation techniques to convert the behavioural data into different data structures. Feature selection is then performed to generate feature subsets from the transformed datasets. Several classification methods used in the literature are applied to the original and transformed feature subsets. The proposed combined knowledge mining model enable us to conduct a benchmark study on the prediction of bank customer behaviour. A real bank customer dataset, drawn from 24,000 active and inactive customers, is used for an experimental analysis, which sheds new light on the role of feature engineering in bank customer classification. This paper&apos;s detailed systematic analysis of the modelling of bank customer behaviour can help banking institutions take the right steps to increase their customers&apos; activity.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

    <a href="/en/project/GA19-15498S" target="_blank" >GA19-15498S: Modelling emotions in verbal and nonverbal managerial communication to predict corporate financial risk</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Research in International Business and Finance

  • ISSN

    0275-5319

  • e-ISSN

    1878-3384

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    April

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    16

  • Pages from-to

    101913

  • UT code for WoS article

    000951433200001

  • EID of the result in the Scopus database

    2-s2.0-85149284943