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
