Utvidet returrett til 31. januar 2024

Data Mining

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

Om Data Mining

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 creationHow to prepare your dataHow to clean your dataData MiningSimilarity and distances of dataThe effect of data distributionAssociation pattern miningWhat is cluster analysis?What is an outlier in data mining?How to deal with outliers in data miningMethods of identifying outliers in dataApplications of data mining in the business industrySo if you are serious about becoming an expert in data mining, start with this book by clicking "add to cart"!

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781647483371
  • Bindende:
  • Hardback
  • Sider:
  • 102
  • Utgitt:
  • 10. januar 2020
  • Dimensjoner:
  • 152x229x8 mm.
  • Vekt:
  • 308 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 27. november 2024

Beskrivelse av Data Mining

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 creationHow to prepare your dataHow to clean your dataData MiningSimilarity and distances of dataThe effect of data distributionAssociation pattern miningWhat is cluster analysis?What is an outlier in data mining?How to deal with outliers in data miningMethods of identifying outliers in dataApplications of data mining in the business industrySo if you are serious about becoming an expert in data mining, start with this book by clicking "add to cart"!

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