Veracity of Big Data by Vishnu Pendyala - Bookswagon
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Veracity of Big Data

Veracity of Big Data


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About the Book

Chapter 1: Introduction Chapter Goal: Introduce the readers to the manifestations of falsehood in Big Data and its ramifications.No of pages 30Sub -Topics1. The Big Data Phenomenon2. The Four V's3. Veracity - the fourth 'V'4. Tracing truth in human endeavors5. Veracity in the context of the WebChapter 2: Mathematical AbstractionChapter Goal: Present the math behind the method and develop a mathematical framework within which the problem and its solution can be discussed.No of pages: 30Sub - Topics 1. A fruit vendor example2. Building the abstraction3. Twitter Example - Sentiment Analysis4. Solution SpaceChapter 3: Tools and TechniquesChapter Goal: Introduce the Machine Learning and mathematical tools to solve the problem. No of pages: 30Sub - Topics: 1. Machine Learning Algorithms - a quick primer2. Kalman Filter3. Statistical Techniques
Chapter 4: Veracity of Web InformationChapter Goal: Use the concepts, tools, and techniques described in chapter 3 to examine the truthfulness of microblogsNo of pages: 50Sub - Topics: 1. Machine Learning the truthfulness of twitter data2. Statistical approaches to detect veiled attacks3. Applying Kalman Filter to analyze sentiment fluctuations
Chapter 5: Future DirectionsChapter Goal: Explore ideas that the readers can consider for further delving into the topic, given that this is a niche area.1. Natural Language Processing methods2. Knowledge Representation Techniques3. Ensemble Methods

About the Author: Vishnu Pendyala is a Senior Member of IEEE and of the Computer Society of India (CSI), with over two decades of software experience with industry leaders such as Cisco, Synopsys, Informix (now IBM), and Electronics Corporation of India Limited. He is on the executive council of CSI, a member of the Special Interest Group on Big Data Analytics, and is the founding editor of its flagship publication, Visleshana. He recently taught a short-term course on "Big Data Analytics for Humanitarian Causes," which was sponsored by the Ministry of Human Resources, Government of India under the GIAN scheme, and he delivered multiple keynote presentations at IEEE-sponsored international conferences. Vishnu has been living and working in the Silicon Valley for over two decades.


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Product Details
  • ISBN-13: 9781484236321
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Edition: 1st ed.
  • Language: English
  • Returnable: Y
  • Sub Title: Machine Learning and Other Approaches to Verifying Truthfulness
  • Width: 156 mm
  • ISBN-10: 1484236327
  • Publisher Date: 10 Jun 2018
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 180
  • Spine Width: 11 mm
  • Weight: 358 gr


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