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Guide to Big Data Applications

Overview of attention for book
Cover of 'Guide to Big Data Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Strategic Applications of Big Data
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    Chapter 2 Start with Privacy by Design in All Big Data Applications
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    Chapter 3 Privacy Preserving Federated Big Data Analysis
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    Chapter 4 Word Embedding for Understanding Natural Language: A Survey
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    Chapter 5 Big Data Solutions to Interpreting Complex Systems in the Environment
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    Chapter 6 High Performance Computing and Big Data
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    Chapter 7 Managing Uncertainty in Large-Scale Inversions for the Oil and Gas Industry with Big Data
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    Chapter 8 Big Data in Oil & Gas and Petrophysics
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    Chapter 9 Friendship Paradoxes on Quora
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    Chapter 10 Deduplication Practices for Multimedia Data in the Cloud
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    Chapter 11 Privacy-Aware Search and Computation Over Encrypted Data Stores
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    Chapter 12 Civil Infrastructure Serviceability Evaluation Based on Big Data
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    Chapter 13 Nonlinear Dynamical Systems with Chaos and Big Data: A Case Study of Epileptic Seizure Prediction and Control
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    Chapter 14 Big Data to Big Knowledge for Next Generation Medicine: A Data Science Roadmap
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    Chapter 15 Time-Based Comorbidity in Patients Diagnosed with Tobacco Use Disorder
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    Chapter 16 The Impact of Big Data on the Physician
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    Chapter 17 The Potential of Big Data in Banking
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    Chapter 18 Marketing Applications Using Big Data
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    Chapter 19 Does Yelp Matter? Analyzing (And Guide to Using) Ratings for a Quick Serve Restaurant Chain
Overall attention for this book and its chapters
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Mentioned by

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6 tweeters
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1 Facebook page

Citations

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1 Dimensions

Readers on

mendeley
91 Mendeley
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Title
Guide to Big Data Applications
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-53817-4
ISBNs
978-3-31-953816-7, 978-3-31-953817-4
Editors

S. Srinivasan

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 8%
Student > Bachelor 5 5%
Student > Master 4 4%
Lecturer > Senior Lecturer 1 1%
Student > Doctoral Student 1 1%
Other 1 1%
Unknown 72 79%
Readers by discipline Count As %
Computer Science 11 12%
Engineering 3 3%
Economics, Econometrics and Finance 2 2%
Medicine and Dentistry 2 2%
Business, Management and Accounting 1 1%
Other 2 2%
Unknown 70 77%