Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

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2016 · 영어 · 킨들 · 판본 5개
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설명

In this engaging and comprehensive guide, readers are introduced to the powerful intersection of data mining and business analytics. The authors, Galit Shmueli and Nitin R. Patel, dive into various concepts and techniques that empower businesses to harness the full potential of their data. Through clear explanations and practical examples, they demystify complex processes, making it accessible for students and professionals alike.

The text emphasizes the use of XLMiner, a popular data mining tool, equipping readers with the skills needed to implement effective analytical solutions within real-world scenarios. From exploratory data analysis to predictive modeling, the authors provide step-by-step guidance that fosters a deeper understanding of how to extract actionable insights from data.

As the third edition, this book incorporates the latest developments and applications in the field, ensuring readers stay ahead of current trends. With its practical approach and user-friendly methodology, the book serves as an invaluable resource for anyone looking to improve their data-driven decision-making capabilities in today's competitive business environment.

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형식 킨들
페이지 529 페이지
언어 영어
출판됨 4월 18, 2016
출판사 Wiley
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