Who is the target audience for this book?

This book is primarily targeted at students, educators, and business professionals interested in learning about data mining methodologies. It serves as an academic text for courses on data analytics, as well as a practical guide for business analysts seeking to apply these techniques in real-world scenarios. This broad audience benefits from the book's mix of theoretical background and hands-on exercise applications.

How does XLMiner enhance the learning experience for data mining concepts?

XLMiner enhances the learning experience by providing a user-friendly interface for performing complex data mining tasks. The book integrates this software throughout, allowing readers to apply theoretical concepts to actual datasets, facilitating deeper understanding. Practicing with XLMiner helps users gain proficiency in interpreting results and making data-driven decisions, applicable in various fields such as marketing and finance.

What will I learn about business applications of data mining from this book?

You will learn how to effectively utilize data mining techniques to drive business strategies and improve decision-making. The book covers applications in customer segmentation, predictive modeling, and market basket analysis, among others. These insights help businesses understand customer behavior, optimize marketing campaigns, and streamline operations to enhance profitability.

Are there any practical examples included in the book?

Yes, the book is rich with practical examples that illustrate the application of data mining techniques in real-world business settings. Each chapter includes case studies and exercises that guide readers through the process of data analysis using XLMiner. These practical insights not only clarify theoretical concepts but also empower users to implement data mining solutions in their own work.

How does this book compare to previous editions?

This edition includes significant updates on the latest data mining techniques and software advancements, specifically tailored for the XLMiner platform. It also features new case studies and examples reflecting current industry trends. By addressing feedback from previous editions, it enhances comprehension and applicability for readers seeking to stay at the forefront of business analytics.

Can beginners understand the concepts explained in this book?

Absolutely! The book is structured to cater to beginners while also providing depth for advanced readers. It begins with foundational concepts and gradually advances to more complex methodologies. Clear explanations, alongside practical exercises using XLMiner, facilitate a smooth learning curve, making it suitable for those new to data mining.

What kind of statistical knowledge is required to grasp the contents of this book?

While a basic understanding of statistics is helpful, you don’t need advanced knowledge to grasp the contents. The book explains necessary statistical concepts in the context of data mining techniques. Readers often find that the practical applications presented through XLMiner help solidify their grasp of statistics as they relate to data analytics in business.

How is the book structured for effective learning?

The book is structured into well-defined chapters focusing on specific topics, ranging from essential concepts to advanced techniques. Each chapter includes objectives, practical examples, and exercises that reinforce learning. This structured approach allows readers to progressively build their knowledge and skills, eventually equipping them to tackle data mining tasks in their professional roles.

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

Data Mining for Business Analytics is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics

Nº de artículo: 3718449

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

Q: What is the primary focus of 'Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner 3rd Edition'?

The primary focus of this book is to provide a comprehensive understanding of data mining techniques and their applications in business analytics. It covers core concepts that demystify data mining, exploring techniques such as classification, clustering, and regression, all illustrated through XLMiner’s practical applications. This resource is perfect for students and professionals looking to leverage data for informed business decisions.

Q: Where can I buy 'Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner 3rd Edition'?

You can buy 'Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner 3rd Edition' on Ubuy. Ubuy provides a convenient platform for purchasing this essential resource, ensuring you have access to the latest edition, which is perfect for enhancing your skills in data analytics.

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Nº de artículo: 3718449

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What Stands Out

Comprehensive Coverage

This edition delivers extensive insights into data mining concepts, techniques, and applications, making it ideal for both beginners and seasoned professionals looking to enhance their business analytics skills using XLMiner.

Practical Application

The book integrates practical examples and hands-on exercises with XLMiner, allowing readers to apply theoretical concepts directly to real-world business problems, fostering deeper understanding and skill development.

Updated Content

Featuring the latest advancements in data mining, this edition ensures readers are equipped with cutting-edge techniques, keeping them competitive in the rapidly evolving field of business analytics.

Detalles de producto

Comprehensive coverage of data mining methods using XLMiner® for Education software
Includes updated topics such as text mining, social network analysis, and ensemble methods
Real-world examples and data-rich case studies for practical understanding
Ideal textbook for upper-undergraduate and graduate-level courses in data mining and analytics
Written by renowned experts in the field of data mining and business analytics
Authors have extensive experience in teaching, research, and application of statistical and data mining methods

Publisher	WILEY
Publication date	January 1, 2016
Edition	3rd
Language	English
Print length	552 pages
ISBN-10	1118729277
ISBN-13	978-1118729274
Item Weight	2.32 pounds (1.05 kg)
Dimensions	7.1 x 1.2 x 9.9 inches (18 x 3 x 25.1 cm)

Who Should Buy?

Business Analysts
Ideal for analysts looking to leverage data mining techniques for improved decision-making and predictive modeling.
Students and Educators
Beneficial for those studying business analytics and data mining, providing practical examples and hands-on exercises.
Data Science Professionals
Useful for practitioners needing to understand data mining applications and enhance their analytical skill set using XLMiner.

Casual Users
Not suitable for individuals seeking quick insights without a foundational understanding of data analysis concepts.

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

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Pregunta: ¿Cómo comprar Data Mining for Business Analytics: Concepts, en línea desde Ubuy?

Respuesta: Es fácil comprar Data Mining for Business Analytics: Concepts, en línea desde Ubuy.. Solo tiene que buscar el producto, elegir su método de envío al pagar y recibirlo en su ubicación.
Pregunta: ¿Está Data Mining for Business Analytics: Concepts, disponible para comprar en línea en Guatemala?

Respuesta: Sí, en Ubuy Guatemala, este producto está disponible para que lo compre a un precio razonable.. El Data Mining for Business Analytics: Concepts, no está disponible localmente, pero puede confiar en nosotros con nuestros servicios de envío exprés.
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Respuesta: El tiempo de entrega de su producto pedido varía según lo que haya pedido y el método de envío que haya elegido.. El tiempo de entrega estimado se menciona durante el proceso de pago, así que no se preocupe mientras compra.

Probability & Statistics Editorial Review

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner is a comprehensive guide published by WILEY, focusing on essential data mining concepts tailored for business analytics. The 3rd edition, released on January 1, 2016, spans 552 pages and is written in English. Readers have found this book useful for understanding core data science and machine learning ideas, though some critiques mention a lack of practical details on using XLMiner effectively. While it excels in explaining concepts simply, there are mixed feelings regarding its application examples, particularly in Excel. Overall, it serves as a decent reference for business analytics.

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ventajas

Rich examples enhance understanding of complex concepts
Core ideas are explained simply and attractively
No fluff, provides direct information
Good for a reference in data science topics
Well-suited for academic use in data classes

Contras

Might lack detailed execution guidance for XLMiner

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características y beneficios

Applied approach to data mining and predictive analytics
Real-life case studies and hands-on exercises
Coverage on text mining, social network analysis, collaborative filtering, ensemble methods, and uplift modeling
Ideal for upper-undergraduate and graduate-level courses in data mining and predictive modeling
Suitable for professionals working with predictive analytics in various fields
Free 140-day license to use XLMiner for Education software included

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

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