Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness

Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness Front Cover
0 Reviews
2018-07-31
180 pages

Book 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 and math, including , 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 , 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 . This book delves into some of the techniques that can be used. Microblogging websites such as have 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

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

Table of Contents

Chapter 1: The Big Data Phenomenon
Chapter 2: Veracity of Web Information
Chapter 3: Approaches to Establishing Veracity of Big Data
Chapter 4: Change Detection Techniques
Chapter 5: Machine Learning Algorithms
Chapter 6: Formal Methods
Chapter 7: Medley of More Methods
Chapter 8: The Future: Blockchain and Beyond

Book Details

  • Title: Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
  • Author:
  • Length: 180 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2018-07-31
  • ISBN-10: 1484236327
  • ISBN-13: 9781484236321
Download LinkFormatSize (MB)Upload Date
Download from UsersCloudTrue PDF, EPUB5.806/10/2018
Download from UsersCloudTrue PDF, EPUB5.808/30/2018
How to Download? Report Dead Links & Get a Copy