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Best Practices for Customer Churn Prediction
Linköping University, Department of Computer and Information Science, Statistics. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Statistics. Linköping University, The Institute of Technology.
2009 (English)Conference paper, Published paper (Other academic)
Abstract [ar]

Acquiring new customers in any business is much more expensive than trying to keep the existing one. This becomes more challenging for customer-oriented organizations because of saturation andfierce competition in this market. Thus a business analyst shifted their focus from building a largecustomer base into keeping customers ‘in house’ (Defensive Marketing). Acquiring new customers ismore expensive than retaining existing customers. Because of these reservations the need of step bystep process to make sure the appropriate selection of dataset and model to guarantee the qualityof forecasted result become more important. In this paper will use the best practices of data miningprocesses to model the whole problem. We will use standard data mining process CRISP-DM tostructure customer churn prediction model. Discuss best variable selection techniques with reasonrelative to telecom industry. We will investigate the pros & cons of LOLIMOT and ADTreesLogit modelto find out the appropriate one. The idea is to provide detailed decision analysis for the decision makersand other stakeholders to give them better insight of their business for making strategic decisions. Datacan be used from data warehouses, data marts or specialized data mining systems.

Place, publisher, year, edition, pages
2009.
Series
Book of abstracts Munich September 1-3, 2010
Keyword [en]
Churn analysis, Statistics, Operation research
National Category
Telecommunications Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-70415OAI: oai:DiVA.org:liu-70415DiVA: diva2:439172
Conference
International Conference on Operations Research, 1-3 september 2010, München, Tyskland
Available from: 2011-09-06 Created: 2011-09-06 Last updated: 2011-09-13

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http://or2010.informatik.unibw-muenchen.de/

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Javad, RaheelSadoghi, Amirhossein

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf