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R Data Analysis Projects

You're reading from R Data Analysis Projects Build end to end analytics systems to get deeper insights from your data

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781788621878

Length 366 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Analysis

Author (1):

Gopi Subramanian

View More author details

Table of Contents (9) Chapters

Preface

1. Association Rule Mining FREE CHAPTER

2. Fuzzy Logic Induced Content-Based Recommendation

3. Collaborative Filtering

4. Taming Time Series Data Using Deep Neural Networks

5. Twitter Text Sentiment Classification Using Kernel Density Estimates

6. Record Linkage - Stochastic and Machine Learning Approaches

7. Streaming Data Clustering Analysis in R

8. Analyze and Understand Networks Using R

Demonstrating the use of RecordLinkage package

We will leverage the RecordLinkage package in R. The data shown in the previous section is available with the package:

Note

RecordLinkage: Record linkage in R provides functions to link and deduplicate datasets. Methods based on a stochastic approach are implemented, as well as classification algorithms from the machine learning domain. Authors: Andreas Borg and Murat Sariyar.

> library(RecordLinkage, quietly = TRUE)
> data(RLdata500)
> str(RLdata500)
'data.frame':    500 obs. of  7 variables:
 $ fname_c1: Factor w/ 146 levels "ALEXANDER","ANDRE",..: 19 42 114 128 112 77 42 139 26 99 ...
 $ fname_c2: Factor w/ 23 levels "ALEXANDER","ANDREAS",..: NA NA NA NA NA NA NA NA NA NA ...
 $ lname_c1: Factor w/ 108 levels "ALBRECHT","BAUER",..: 61 2 31 106 50 23 76 61 77 30 ...
 $ lname_c2: Factor w/ 8 levels "ENGEL","FISCHER",..: NA NA NA NA NA NA NA NA NA NA ...
 $ by      : int  1949 1968 1930 1957 1966 1929 1967 1942 1978 1971 ...
 $ bm    ...

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Authors (1)

Gopi Subramanian

Gopi Subramanian

Gopi Subramanian is a scientist and author with over 18 years of experience in the fields of data mining and machine learning. During the past decade, he has worked extensively in data mining and machine learning, solving a variety of business problems. He has 16 patent applications with the US and Indian patent offices and several publications to his credit. He is the author of Python Data Science Cookbook by Packt Publishing.

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