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Predicting customer churn in mobile industry using data mining technology
16 references·11 citing·48 second hop
Predicting customer churn in mobile industry using data mining technology (2017)Predicting customer churn in mobile indus…The Impact of Marketing-Induced Versus Word-of-Mouth Customer Acquisition on Customer Equity Growth (2008)The Impact of Marketing-Induc…Integrating the voice of customers through call center emails into a decision support system for churn prediction (2008)Integrating the voice of cust…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…A knowledge management approach to data mining process for business intelligence (2008)A knowledge management approa…The chain from customer satisfaction via word-of-mouth referrals to new customer acquisition (2007)The chain from customer satis…M‐loyalty: winning strategies for mobile carriers (2006)M‐loyalty: winning strategies…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…Bagging and Boosting Classification Trees to Predict Churn (2006)Bagging and Boosting Classifi…A Methodology for Linking Customer Acquisition to Customer Retention (2001)A Methodology for Linking Cus…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Analytical challenges in customer acquisition (1997)Analytical challenges in cust…Advertising Value and Advertising on the Web (1996)Advertising Value and Adverti…Price Sensitivity and Television Advertising Exposures: Some Empirical Findings (1992)Price Sensitivity and Televis…Judgment under Uncertainty: Heuristics and Biases (1975)Judgment under Uncertainty: H…Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: H…Availability: A heuristic for judging frequency and probability (1973)Availability: A heuristic for…Research on the Application of Availability Bias on Decision Making (2023)Research on the Application o…Churning off the news: An analysis of newspaper subscriber churn across digital devices (2023)Churning off the news: An ana…Supply chain risk identification: a real-time data-mining approach (2022)Supply chain risk identificat…Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis (2022)Evolution of customer relatio…Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management (2021)Swarm intelligence goal-orien…Mobile Customer Behaviour Predictive Analysis for Targeting Netflix Potential Customer (2021)Mobile Customer Behaviour Pre…Giant fight: Customer churn prediction in traditional broadcast industry (2021)Giant fight: Customer churn p…Sequential Feature Selection in Customer Churn Prediction Based on Naive Bayes (2020)Sequential Feature Selection …Churn prediction and social neighbour influences for different types of user groups in virtual worlds (2019)Churn prediction and social n…A Comparative Study of Employee Churn Prediction Model (2018)A Comparative Study of Employ…Termination notice of mobile network operator customers after a tariff switch: An empirical study of postpaid subscribers in Germany (2017)Termination notice of mobile …Subjective probability: A judgment of representativeness (1972)On the psychology of prediction. 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this work references cited by second hop

References

  • 1974Judgment under Uncertainty: Heuristics and Biases28,742 cited
  • 1975Judgment under Uncertainty: Heuristics and Biases22,647 cited
  • 1973Availability: A heuristic for judging frequency and probability9,980 cited
  • 1996Advertising Value and Advertising on the Web1,361 cited
  • 2008The Impact of Marketing-Induced Versus Word-of-Mouth Customer Acquisition on Customer Equity Growth559 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2006Bagging and Boosting Classification Trees to Predict Churn410 cited
  • 2007The chain from customer satisfaction via word-of-mouth referrals to new customer acquisition348 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry325 cited
  • 2001A Methodology for Linking Customer Acquisition to Customer Retention323 cited
  • 2006M‐loyalty: winning strategies for mobile carriers202 cited
  • 2008Integrating the voice of customers through call center emails into a decision support system for churn prediction163 cited
  • 2008A knowledge management approach to data mining process for business intelligence153 cited

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  • 1992Price Sensitivity and Television Advertising Exposures: Some Empirical Findings87 cited
  • 1997Analytical challenges in customer acquisition83 cited
  • Cited by

    • 2022Supply chain risk identification: a real-time data-mining approach68 cited
    • 2018A Comparative Study of Employee Churn Prediction Model52 cited
    • 2021Giant fight: Customer churn prediction in traditional broadcast industry41 cited
    • 2021Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management40 cited
    • 2020Sequential Feature Selection in Customer Churn Prediction Based on Naive Bayes27 cited
    • 2019Churn prediction and social neighbour influences for different types of user groups in virtual worlds17 cited
    • 2022Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis16 cited
    • 2017Termination notice of mobile network operator customers after a tariff switch: An empirical study of postpaid subscribers in Germany14 cited
    • 2021Mobile Customer Behaviour Predictive Analysis for Targeting Netflix Potential Customer13 cited
    • 2023Churning off the news: An analysis of newspaper subscriber churn across digital devices8 cited
    • 2023Research on the Application of Availability Bias on Decision Making3 cited