UK domestic customers set to churn

被引:0
|
作者
不详
机构
来源
INTERNATIONAL GAS ENGINEERING AND MANAGEMENT | 2001年 / 41卷 / 09期
关键词
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
引用
收藏
页码:21 / 21
页数:1
相关论文
共 50 条
  • [21] Prediction of bank credit customers churn based on machine learning and interpretability analysis
    Li, Ying
    Yan, Keyue
    DATA SCIENCE IN FINANCE AND ECONOMICS, 2025, 5 (01):
  • [22] Predicting Customer Churn on OTT Platforms: Customers with Subscription of Multiple Service Providers
    Mohan, Manish
    Jadhav, Anil
    JOURNAL OF INFORMATION AND ORGANIZATIONAL SCIENCES, 2022, 46 (02) : 433 - 451
  • [23] A fuzzy based churn prediction and retention model for prepaid customers in telecom industry
    Muhammad Azeem
    Muhammad Usman
    International Journal of Computational Intelligence Systems, 2018, 11 : 66 - 78
  • [24] What social media sentiment tells us about why customers churn
    Lappeman, James
    Franco, Michaela
    Warner, Victoria
    Sierra-Rubia, Lara
    JOURNAL OF CONSUMER MARKETING, 2022, 39 (05) : 385 - 403
  • [25] Customers Churn Prediction using Artificial Neural Networks (ANN) in Telecom Industry
    Khan, Yasser
    Shafiq, Shahryar
    Naeem, Abid
    Ahmed, Sheeraz
    Safwan, Nadeem
    Hussain, Sabir
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (09) : 132 - 142
  • [26] Integrating OWA and data mining for analyzing customers churn in E-commerce
    Cao Jie
    Yu Xiaobing
    Zhang Zhifei
    JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2015, 28 (02) : 381 - 392
  • [27] Integrating OWA and Data Mining for Analyzing Customers Churn in E-Commerce
    CAO Jie
    YU Xiaobing
    ZHANG Zhifei
    Journal of Systems Science & Complexity, 2015, 28 (02) : 381 - 392
  • [28] Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention
    Verhelst, Theo
    Shrestha, Jeevan
    Mercier, Denis
    Dewitte, Jean-Christophe
    Bontempi, Gianluca
    DISCOVERY SCIENCE (DS 2021), 2021, 12986 : 44 - 54
  • [29] A fuzzy based churn prediction and retention model for prepaid customers in telecom industry
    Azeem, Muhammad
    Usman, Muhammad
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2018, 11 (01) : 66 - 78
  • [30] Relevant Drivers for Customers' Churn and Retention Decision in the Nigerian Mobile Telecommunication Industry
    Adebiyi, Sulaimon Olanrewaju
    Oyatoye, Emmanuel Olateju
    Amole, Bilqis Bolanle
    JOURNAL OF COMPETITIVENESS, 2016, 8 (03) : 52 - 67