Packt+ | Advance your knowledge in tech

You're reading from R Data Mining Implement data mining techniques through practical use cases and real-world datasets

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781787124462

Length 442 pages

Edition 1st Edition

Languages

Tools

ggplot

Concepts

Data Mining

Author (1):

Andrea Cirillo

View More author details

Table of Contents (16) Chapters

Preface

1. Why to Choose R for Your Data Mining and Where to Start FREE CHAPTER

2. A First Primer on Data Mining Analysing Your Bank Account Data

3. The Data Mining Process - CRISP-DM Methodology

4. Keeping the House Clean – The Data Mining Architecture

5. How to Address a Data Mining Problem – Data Cleaning and Validation

6. Looking into Your Data Eyes – Exploratory Data Analysis

7. Our First Guess – a Linear Regression

8. A Gentle Introduction to Model Performance Evaluation

9. Don't Give up – Power up Your Regression Including Multiple Variables

10. A Different Outlook to Problems with Classification Models

11. The Final Clash – Random Forests and Ensemble Learning

12. Looking for the Culprit – Text Data Mining with R

13. Sharing Your Stories with Your Stakeholders through R Markdown

14. Epilogue

15. Dealing with Dates, Relative Paths and Functions

The data mining engine

The data mining engine is the true heart of our data mining architecture. It consists of tools and software employed to gain insights and knowledge from data acquired from data sources, and stored within data warehouses.

What makes a data mining engine?

As you should be able to imagine at this point, a good data mining engine is composed of at least three components:

An interpreter, able to transmit commands defined within the data mining engine to the computer
Some kind of gear between the engine and the data warehouse to produce and handle communication in both directions
A set of instructions, or algorithms, needed to perform data mining activities

We are going to look a bit closer at these three components, remembering that the most important one, the set of instructions, is actually the theme of the whole book, and will therefore be fully developed throughout all the remaining chapters.