Book Image

Clojure Data Analysis Cookbook

By : Eric Rochester
Book Image

Clojure Data Analysis Cookbook

By: Eric Rochester

Overview of this book

<p>Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes.<br /><br />"The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, this book has something for the task at hand.<br /><br />You'll learn how to acquire data, clean it up, and transform it into useful graphs which can then be analyzed and published to the Internet. Coverage includes advanced topics like processing data concurrently, applying powerful statistical techniques like Bayesian modelling, and even data mining algorithms such as K-means clustering, neural networks, and association rules.</p>
Table of Contents (18 chapters)
Clojure Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 3. Managing Complexity with Concurrent Programming

In this chapter, we will cover:

  • Managing program complexity with STM

  • Managing program complexity with agents

  • Getting better performance with commute

  • Combining agents and STM

  • Maintaining consistency with ensure

  • Introducing safe side effects into the STM

  • Maintaining data consistency with validators

  • Tracking processing with watchers

  • Debugging concurrent programs with watchers

  • Recovering from errors in agents

  • Managing input with sized queues