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Veracity of Big Data

Machine Learning and Other Approaches to Verifying Truthfulness

Vishnu Pendyala

  • Apress

  • Publication date : 2018-06-08

Ce livre est accessible aux handicaps Voir les informations d'accessibilité
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Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. 

Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language.

Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitterhave played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion.

What You'll Learn
  • Understand the problem concerning data veracity and its ramifications
  • Develop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examples
  • Use diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issues
Who This Book Is For

Software developers and practitioners, practicing engineers, curious managers, graduate students, and research scholars

About the book
Author
Vishnu  Pendyala
Imprint
Apress
Collection
n.c
Publication date
2018-06-08
Pages
180 pages
Print ISBN
9781484236321
Language
English
Ebook informations
EAN PDF
9781484236338
Price
£27.99
Read more
Copy count 1
Print count 18
File size 4895 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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