語系/ Language: 繁體中文

Developing churn models using data m...
Mrsic, Leo (1973-)

 

  • Developing churn models using data mining techniques and social network analysis
  • 紀錄類型: 書目-語言資料,印刷品 : 單行本
    作者: KlepacGoran, 1972-
    其他作者: MrsicLeo, 1973-
    其他作者: KopalRobert, 1964-
    其他團體作者: IGI Global
    面頁冊數: PDFs (308 pages).
    標題: Data mining. -
    標題: Consumer satisfaction. -
    標題: Customer loyalty. -
    標題: Attribute relevance analysis
    標題: Behavioral variables
    標題: Churn prediction
    標題: Data sampling
    標題: Predictive analytics
    標題: Risk management
    標題: Web analytics
    電子資源: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-6288-9
    附註: Content Type: text
    摘要註: "This book provides an in-depth analysis of attrition modeling relevant to business planning and management, offering insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytic tools"--Provided by publisher.
    ISBN: 9781466662896
    內容註: Churn problem in everyday business Setting (realistic) business aims Data mining techniques for churn mitigation/detection: intrinsic attributes approach Social network analysis (SNA) for churn mitigation/detection: introduction and metrics Data preparation and churn detection Churn analysis using selected structured analytic techniques Attribute relevance analysis From churn models to churn solution Measuring predictive power Churn model development, monitoring, and adjustment Churn case studies.
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