Téléchargez le livre : Veracity of Big Data

Veracity of Big Data

Machine Learning and Other Approaches to Verifying Truthfulness de

Éditeur :

Apress


Paru le : 2018-06-08

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Description

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
Pages
180 pages
Collection
n.c
Parution
2018-06-08
Marque
Apress
EAN papier
9781484236321
EAN PDF
9781484236338
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
4895 Ko
Prix
34,50 €

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