Unstructured Data Analysis
1st Edition
Entity Resolution and Regular Expressions in SAS
eBook Features
-
Read Anywhere
Read your book anywhere, on any device, through RedShelf's cloud based eReader.
-
Digital Notes and Study Tools
Built-in study tools include highlights, study guides, annotations, definitions, flashcards, and collaboration.
-
Text-to-Speech Compatible
Have the book read to you!
-
Offline Access
(
100% )
The publisher of this book allows a portion of the content to be used offline.
-
Printing
(
20%
)
The publisher of this book allows a portion of the content to be printed.
-
Copy/Paste
(
20% )
The publisher of this book allows a portion of the content to be copied and pasted into external tools and documents.
Additional Book Details
Unlock the power of regular expressions and entity resolution to transform your analytics projects<p><p>
Unstructured data is the most voluminous form of data in the world, and analysts rarely receive it in perfect condition for processing. In other words, textual data needs to be cleaned, transformed, and enhanced before value can be derived from it. Unstructured Data Analysis: Entity Resolution and Regular Expressions in SAS shows SAS programmers of virtually all skill levels how to harness the robust power of regular expressions and entity resolution within the SAS programming language for a wide array of everyday applications of unstructured data analyses.<p><p>
This book uses a practical, examples-based approach to present techniques for unstructured data processing and provides the foundational information needed to perform advanced applications. Beginning with regular expressions in SAS, readers will progress to learning the building blocks of Entity Resolution Analytics including entity extraction, ETL, entity resolution, network mapping and analysis, and management concepts. Filled with motivational examples and helpful guidelines, this book is a critical reference for every analytics professional who works with unstructured data.<p><p>
Additional resources for this book can be found by accessing the link below.
| Sold By | SAS Institute |
|---|---|
| ISBNs | 9781629598420, 9781635267099, 9781642953596, 9781635267112 |
| Publish Year | 2018 |
| Language | English |
| Number of Pages | 166 |
| Edition | 1st |
| Website | https://support.sas.com/windham |