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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
  2. Altmetric Badge
    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
Attention for Chapter 15: CuraEx - Clinical Expert System Using Big-Data for Precision Medicine
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Chapter title
CuraEx - Clinical Expert System Using Big-Data for Precision Medicine
Chapter number 15
Book title
Big Data Analytics
Published by
Springer International Publishing, December 2015
DOI 10.1007/978-3-319-27057-9_15
Book ISBNs
978-3-31-927056-2, 978-3-31-927057-9
Authors

Mohamood Adhil, Santhosh Gandham, Asoke K. Talukder, Mahima Agarwal, Prahalad Achutharao

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Professor 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Social Sciences 1 17%
Engineering 1 17%
Unknown 2 33%