Data Mining: The Data Mining Guide for Beginners

Including Applications for Business, Data Mining Techniques, Concepts, and More

By: Herbert Jones

Narrated by: Sam Slydell

Length: 3 hrs

Publisher's summary

Do you want to learn about data mining but don't feel like listening to a boring textbook? This data mining audiobook 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.

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 cluster analysis is
• What an outlier in data mining is
• How to deal with outliers in data mining
• Methods of identifying outliers in data
• Applications of data mining in the business industry

Listen to this audiobook now to learn more about data mining!

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2018 Herbert Jones (P)2018 Herbert Jones

Exciting

Excellent examples, well organized. Algorithm pseudo codes are very helpful. Recommended to all folks. Good

Good Job

The author(s) did a great job of explaining complex topics. It's a textbook, so there's a good combination of both theory and math. I like the way that the book uses one company as the focus of examples for the entire book. It's creates continuity.

Five Stars From Me

This is a very useful resource for graduate students and those desiring to understand the theory of data mining

So Nice

I'm using this book for a Data Mining class in grad. school. I'd never taken a data mining course. Considering that it was a brand new topic to me, I'd say that I've come a long.

Super Helpful Book

The content of the book seems pretty good. I have only got up to about chapter four so far and it's easy to read and introduces material in a reasonably gentle manner.

Great overview

Helpful overview of topics for any interested in concepts of data mining to explore further.

Recommended

It is an informative book for advanced data mining students. Extremely challenging and great guide to understanding your base knowledge of Datamining concepts.

Good One

I will admit that there are a few points where the author assumes that the reader knows a math concept and doesn't explain it, but overall, if you have at least an introductory level knowledge of statistics, you'll be fine. .

A must read

love it. easy to understand and made complex concepts very easy to learn and apply. I highly recommend this book

Great Book

The book is easy to digest, filled with examples, and provides a comfortably paced (some would say slow) introduction to any mathematical / computational concepts required to understand any given subject.