Data Mining Technology: Applications in Marketing, Sales, and Customer Relationship Management (2nd Edition)

Author: (USA) Berry, M.J.A., (USA) Linoff, G.S. (Auth.), Bei Rongfang, Yin Jing, Deng Liua (Translators)
Publisher:
Publishing Date: Not available
Features: This book is an excellent textbook on data mining, providing a comprehensive and systematic introduction to the business environment of data mining, data mining techniques, and their applications in business environments. The book consists of 18 chapters, covering core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis, among others. Additionally, it offers an overview of the best practices in data mining, the latest advancements in data mining, and some highly challenging research topics, demonstrating significant depth and breadth in technology. By studying this book, readers can not only master the overall structure and core techniques of data mining but also appreciate its successful applications in sales and customer relationship management, laying a solid foundation for practical data mining. This book is suitable as a textbook or reference for senior undergraduate or graduate students in relevant fields at universities, as well as for current and future practitioners of data mining for learning and reference.