Book

Veracity of big data : machine learning and other approaches to verifying truthfulness

Pendyala, Vishnu, author

Overview

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 Twitter 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. -- Back cover.

• Publisher: Apress
• Subject: Big data. / Verification (Logic) Computer programs. / Computer algorithms. / Databases Evaluation. / Data editing. / Data integrity. / COMPUTERS / Database Management / Data Mining.
• ISBN: 1484236327, 9781484236321

Item info:

1 item available

1 item total in all locations

Holdings :

Call Number	Copies	Material	Location
QA76.9.B45 P463 2018	1	BOOK	AUTOSTORE