Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and More - Hardcover

Inhaltsangabe

Do you want to learn about data mining but don't feel like reading a boring textbook?

This data mining book could be the answer you're looking for...

Have you ever asked yourself how companies can provide you with a personalized data that is tailored just for you or how Facebook displays feeds and stories related to your search history? Well, data mining is the answer to both these questions.

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and More, will help you understand the basic concepts in data mining as well as its applications. It will dwell mostly on mining methods required in the processing as well as decision-making.

There is no question that data mining has continued to grow and create value in many businesses. The ability to identify hidden knowledge and patterns in the numbers and texts generated daily provides analysts with room to understand the behavior of users. Through the development of models to identify patterns and discover new intelligence, it is now possible to change the business paradigm.

This beginner’s guide will help you understand the different techniques that you can apply in data mining. It will help you develop the right foundation and skills important to master data mining.

Inside you will learn the following:

• Model creation
• How to prepare your data
• How to clean your data
• Data Mining
• Similarity and distances of data
• The effect of data distribution
• Association pattern mining
• What is cluster analysis?
• What is an outlier in data mining?
• How to deal with outliers in data mining
• Methods of identifying outliers in data
• Applications of data mining in the business industry

So if you are serious about becoming an expert in data mining, start with this book by clicking "add to cart"!

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.