Data Mining For Business Intelligence

Data Mining for Business Intelligence by Galit Shmueli is an essential guide for anyone interested in using data mining techniques to gain insights into business intelligence. The book covers a range of topics, including data preprocessing, classification, clustering, and association rules. It also explores advanced techniques such as neural networks, decision trees, and support vector machines. The book is unique in that it provides a practical, hands-on approach to data mining, with numerous examples and case studies that illustrate how the techniques can be applied in real-world scenarios. The author also emphasizes the importance of understanding the business context in which data mining is being applied, and provides guidance on how to interpret and communicate the results of data mining analyses. Key features of the book include a comprehensive introduction to data mining, clear explanations of key concepts and techniques, and a focus on practical applications. The author also provides a wealth of resources for readers, including datasets, software tools, and online tutorials...