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Big Data Analytics

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Cover of 'Big Data Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Privacy Protection or Data Value: Can We Have Both?
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    Chapter 2 Open Source Social Media Analytics for Intelligence and Security Informatics Applications
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    Chapter 3 Information Exploration in E-Commerce Databases
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    Chapter 4 A Framework to Harvest Page Views of Web for Banner Advertising
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    Chapter 5 Utility-Based Control Flow Discovery from Business Process Event Logs
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    Chapter 6 An Efficient Algorithm for Mining High-Utility Itemsets with Discount Notion
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    Chapter 7 Design of Algorithms for Big Data Analytics
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    Chapter 8 Mobility Big Data Analysis and Visualization (Invited Talk)
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    Chapter 9 Finding Periodic Patterns in Big Data
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    Chapter 10 VDMR-DBSCAN: Varied Density MapReduce DBSCAN
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    Chapter 11 Concept Discovery from Un-Constrained Distributed Context
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    Chapter 12 Khanan: Performance Comparison and Programming $$\alpha $$ α -Miner Algorithm in Column-Oriented and Relational Database Query Languages
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    Chapter 13 A New Proposed Feature Subset Selection Algorithm Based on Maximization of Gain Ratio
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    Chapter 14 Genomics 3.0: Big-data in Precision Medicine
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    Chapter 15 CuraEx - Clinical Expert System Using Big-Data for Precision Medicine
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    Chapter 16 Multi-omics Multi-scale Big Data Analytics for Cancer Genomics
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    Chapter 17 Class Aware Exemplar Discovery from Microarray Gene Expression Data
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    Chapter 18 Multistage Classification for Cardiovascular Disease Risk Prediction
Overall attention for this book and its chapters
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Citations

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Title
Big Data Analytics
Published by
Springer International Publishing, November 2015
DOI 10.1007/978-3-319-27057-9
ISBNs
978-3-31-927056-2, 978-3-31-927057-9
Editors

Kumar, Naveen, Bhatnagar, Vasudha

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Researcher 3 14%
Student > Ph. D. Student 3 14%
Lecturer > Senior Lecturer 1 5%
Professor 1 5%
Other 1 5%
Unknown 9 43%
Readers by discipline Count As %
Computer Science 7 33%
Mathematics 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 10 48%