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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Chapter 3. The Science of Words

In this chapter, we will cover the following recipes:

  • Displaying a number in another base
  • Reading a number from another base
  • Searching for a substring using Data.ByteString
  • Searching a string using the Boyer–Moore–Horspool algorithm
  • Searching a string using the Rabin-Karp algorithm
  • Splitting a string on lines, words, or arbitrary tokens
  • Finding the longest common subsequence
  • Computing a phonetic code
  • Calculating the edit distance between two strings
  • Computing the Jaro–Winkler distance between two strings
  • Finding strings within one-edit distance
  • Fixing spelling mistakes using edit distance
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