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Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
Paperback
Publisher Price: $32.99
ISBN13: 9781484236321
Publisher: Apress
Published: Jun 10 2018
Pages: 180
Weight: 0.68
Height: 0.45 Width: 6.14 Depth: 9.21
Language: English
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
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