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Data Mining: The Data Mining Guide for Beginners

Including Applications for Business, Data Mining Techniques, Concepts, and More
Narrated by: Sam Slydell
Length: 3 hrs
5 out of 5 stars (25 ratings)
Regular price: £13.79
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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

What members say

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    5 out of 5 stars

Very Detailed


This was written to be a textbook from the start, complete with question-sets from at the end of every chapter. If you're a student you won't have any choice as to the book selection, however if you are looking at this more from a practical commercial standpoint you will have many choices and this may not be the best one.

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Awesome

This is a modern and understandable treatment of the important topics of Data Mining and Machine Learning designed to be used as a classroom text.

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  • RR
  • 17-10-18

Great Overview

Data Mining is a comprehensive overview of the field, and I think it is best for a graduate class in data mining, or perhaps as a reference book. The book's focus is on technique

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It is a complete data mining book

But it is a thorough, if very technical, introduction to data mining. Essentially only the serious need apply. Those who just need a general knowledge of data mining would best look elsewhere.

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Something Good

It is that, but whether as a classroom student or on your own, you'd better have a reasonably solid understanding of statistics, match, C programming, database structure and more.

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Five Stars

It presents an extraordinary clear flow of materials. The essences of the difficult and challenging research publications are extracted.

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What a Research!

Good content. Nice condition. It's considered to be the best learning material for students and professionals who are new in this field.

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Keep Up Good Work



I just love this book. It helped me a lot, during the Data Mining course, this year.

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Data Mining

This is a great book for who is starting at data mining. It gives us a solid concept definition about data mining concepts, and common techniques.

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A Good Handy Book

Great book on data mining. Concepts still useful today. I highly recommend this book to all.

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  • Howard Lanham
  • 02-11-18

Not sure where to start...

I honestly thought this book was being read by some text-to-speech application. It sounds like a robot reading a technical manual for the super hadron collider. There are duplicated parts of the book as well. Don't waste your money/credit on this one if you are looking for a decent overview of data mining concepts.

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  • Kateee
  • 17-10-18

Very Impressive Way Of Writing

This book provides very good overview of Data Mining techniques in general and it is also packed with lots of practical examples, giving good intuition on what actually Data Mining is and how it is related to Machine Learning and Statistics.

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  • Noah Charlotte
  • 17-10-18

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.

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  • King
  • 17-10-18

Exciting

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

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  • Allison
  • 17-10-18

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.

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  • Alex
  • 17-10-18

Five Stars From Me

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

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  • Jean AR
  • 17-10-18

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. .

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  • Alee
  • 17-10-18

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.

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  • Mark
  • 17-10-18

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.

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  • Autumn in Spring
  • 17-10-18

Recommended

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