Rochester E. Clojure Data Analysis Cookbook

Packt Publishing, 2013. — 342 p. — ISBN: 978-1-78216-264-3.
На англ. языке.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.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.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.What you will learn from this book:
Create beautiful, insightful graphs that you can publish to the Internet.
Apply powerful clustering and data mining techniques to better understand your data.
Use powerful data analysis libraries like Incanter, Hadoop, and Weka to get things done quickly.
Interface with Mathematica and R to use the powerful analysis features they provide.
Process data concurrently and in parallel for faster performance.
Transform data to make it more useful and easier to analyze.Importing Data for Analysis
Cleaning and Validating Data
Managing Complexity with Concurrent Programming
Improving Performance with Parallel Programming
Distributed Data Processing with Cascalog
Working with Incanter Datasets
Preparing for and Performing Statistical Data Analysis with Incanter
Working with Mathematica and R
Clustering, Classifying, and Working with Weka
Graphing in Incanter
Creating Charts for the WebФормат книги совместим с iPAD и Amazon Kindle, на PC открывается многими бесплатными ридерами, например Cool Reader, Calibre, Adobe Digital Editions