• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Master's Dissertation
DOI
https://doi.org/10.11606/D.55.2019.tde-22032019-171747
Document
Author
Full name
Luís Carlos Otte Júnior
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2018
Supervisor
Committee
Carvalho, André Carlos Ponce de Leon Ferreira de (President)
Baranauskas, José Augusto
Basgalupp, Márcio Porto
Ponti, Moacir Antonelli
 
Title in Portuguese
Tomada de decisões em sistemas financeiros utilizando algoritmos de aprendizado de máquina supervisionado
Keywords in Portuguese
Aprendizado máquina
Árvores de decisão
Mineração de dados
Recuperação crédito
Redes neurais
Abstract in Portuguese
Embora existam soluções para sistemas de cobrança e telecomunicações que apresentem relatórios para auxílio à cobrança de clientes, ambas carecem de informações que apoiem a tomada de decisões, nas análises estratégicas e na propensão de pagamento. Desse modo, o objetivo deste projeto é implementar ferramentas e soluções inteligentes a fim de reduzir o desperdício de tempo e aumentar a produtividade do gestor, decorrentes da necessidade da análise e cruzamento de todos os dados para tomar qualquer ação durante os processos de cobrança e gestão de custos.
 
Title in English
Decision making in financial systems using supervised machine learning algorithms
Keywords in English
Credit recovery
Data mining
Decision trees
Machine learning
Neural networks
Abstract in English
Although there are solutions for billing and telecommunications systems to present reports to support debt collection, both lack information to support decision making in strategic analysis and propensity to pay. Thus, the goal of this project is to implement intelligent tools and solutions taht are able to increase their productivity and reduce waste of managers time, due to the need of analyzing and crossing all the data to take action during the collection processes and cost management.
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
Publishing Date
2019-03-22
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors.
CeTI-SC/STI
© 2001-2024. Digital Library of Theses and Dissertations of USP.