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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Data Analysis FREE CHAPTER 2. Data Preprocessing 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java A. Java Tools Index

Actuarial science

One of Newton's few friends was Edmund Halley, the man who first computed the orbit of his eponymous comet. Halley was a polymath, with expertise in astronomy, mathematics, physics, meteorology, geophysics, and cartography.

In 1693, Halley analyzed mortality data that had been compiled by Caspar Neumann in Breslau, Germany. Like Kepler's work with Brahe's data 90 years earlier, Halley's analysis led to new knowledge. His published results allowed the British government to sell life annuities at the appropriate price, based on the age of the annuitant.

Most data today is still numeric. But most of the algorithms we will be studying apply to a much broader range of possible values, including text, images, audio and video files, and even complete web pages on the internet.

You have been reading a chapter from
Java Data Analysis
Published in: Sep 2017
Publisher: Packt
ISBN-13: 9781787285651
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