Book Image

Mastering SQL Server 2014 Data Mining

By : Amarpreet Singh Bassan, Debarchan Sarkar
Book Image

Mastering SQL Server 2014 Data Mining

By: Amarpreet Singh Bassan, Debarchan Sarkar

Overview of this book

<p>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.</p> <p>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.</p>
Table of Contents (17 chapters)
Mastering SQL Server 2014 Data Mining
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


This chapter dealt with some of the technical problems that were encountered while working with the models throughout this book. While processing and deploying the models, the amount of data and the way in which the data is processed directly affects the time to deploy a solution. It also affects the accuracy of the models; we might also miss out on valid models if we do not tune the algorithm with the help of certain parameters. Therefore, we visited the models discussed in this book. We also discussed which parameters can be altered to improve the processing performance, ensuring the validity of the models. Lastly, we discussed the problem that we encountered during the deployment of the model and took corrective actions.