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

Chapter 10. Troubleshooting

In the previous chapters, you learned various data mining algorithms and also worked on creating data mining models. While working through various phases of data mining, we faced many problems both conceptually and technically. The following are some of the technical problems that we faced while working our way through this book:

  • Only about 4,000 rows get loaded into the SQL table while transferring data from a text file containing 145,000 rows

  • Error while changing the data type of the table

  • Troubleshooting the data mining models' performance

  • Error during the deployment of a model

We will now look at how to resolve each of these problems.