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Big Data Analytics

Overview of attention for book
Cover of 'Big Data Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Smart Energy Management: A Computational Approach
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    Chapter 2 Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges
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    Chapter 3 A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions
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    Chapter 4 Holistic Analysis of Multi-source, Multi-feature Data: Modeling and Computation Challenges
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    Chapter 5 Entity Markup for Knowledge Base Population
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    Chapter 6 Mining Credible and Relevant News from Social Networks
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    Chapter 7 Integration of Text Classification Model with Speech to Text System
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    Chapter 8 Modern Column Stores for Big Data Processing
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    Chapter 9 Improving Infrastructure for Transportation Systems Using Clustering
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    Chapter 10 Temporal Topic Modeling of Scholarly Publications for Future Trend Forecasting
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    Chapter 11 Trip Planning and Scheduling Queries in Spatial Databases: A Survey
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    Chapter 12 Precision/Recall Trade-Off Analysis in Abnormal/Normal Heart Sound Classification
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    Chapter 13 Analysis of the Co-purchase Network of Products to Predict Amazon Sales-Rank
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    Chapter 14 Model-Free Optimal Control: A Critical Analysis
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    Chapter 15 Computational Core for Plant Metabolomics: A Case for Interdisciplinary Research
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    Chapter 16 Semantic Interoperability in Electronic Health Record Databases: Standards, Architecture and e-Health Systems
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    Chapter 17 Big Data Analytics Advances in Health Intelligence, Public Health, and Evidence-Based Precision Medicine
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    Chapter 18 A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes
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    Chapter 19 Parallel Evolving Clustering Method for Big Data Analytics Using Apache Spark: Applications to Banking and Physics
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    Chapter 20 An Introduction to Adversarial Machine Learning
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    Chapter 21 Investigating the Role of Twitter in E-Governance by Extracting Information on Citizen Complaints and Grievances Reports
Overall attention for this book and its chapters
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2 X users

Citations

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Readers on

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17 Mendeley
Summary X Dimensions citations
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Title
Big Data Analytics
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-72413-3
ISBNs
978-3-31-972413-3, 978-3-31-972412-6
Editors

P. Krishna Reddy, Ashish Sureka, Sharma Chakravarthy, Subhash Bhalla

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 53%
Student > Bachelor 2 12%
Researcher 1 6%
Professor > Associate Professor 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 8 47%
Business, Management and Accounting 5 29%
Social Sciences 2 12%
Unknown 2 12%

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