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 1. Identifying, Staging, and Understanding Data

We will begin our discussion with an introduction to the data mining life cycle, and this chapter will focus on its first three stages. You are expected to have a basic understanding of the Microsoft Business Intelligence stack and familiarity of terms such as extract, transform, and load (ETL), data warehouse, and so on. This chapter builds on this basic understanding.

We will cover the following topics in this chapter:

  • Data mining life cycle

  • Identifying the goal

  • Staging data

  • Understanding and cleansing data