Mastering SQL Server 2014 Data Mining: Master selecting, applying, and deploying data mining models to build powerful predictive analysis frameworks

✍ Scribed by Amarpreet Singh Bassan, Debarchan Sarkar

• Publisher: Packt Publishing
• Year: 2014
• Tongue: English
• Leaves: 304
• Category: Library

✦ Synopsis

Whether you are new to data mining or are a seasoned expert, this book will provide you with the skills you need to successfully create, customize, and work with Microsoft Data Mining Suite. Starting with the basics, this book will cover how to clean the data, design the problem, and choose a data mining model that will give you the most accurate prediction. Next, you will be taken through the various classification models such as the decision tree data model, neural network model, as well as Naïve Bayes model. Following this, you'll learn about the clustering and association algorithms, along with the sequencing and regression algorithms, and understand the data mining expressions associated with each algorithm. With ample screenshots that offer a step-by-step account of how to build a data mining solution, this book will ensure your success with this cutting-edge data mining system.