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Big Data Analytics

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Scalable Analytics – Algorithms and Systems
  3. Altmetric Badge
    Chapter 2 Big-Data – Theoretical, Engineering and Analytics Perspective
  4. Altmetric Badge
    Chapter 3 A Comparison of Statistical Machine Learning Methods in Heartbeat Detection and Classification
  5. Altmetric Badge
    Chapter 4 Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases
  6. Altmetric Badge
    Chapter 5 Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?
  7. Altmetric Badge
    Chapter 6 A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education
  8. Altmetric Badge
    Chapter 7 Exploiting Schema and Documentation for Summarizing Relational Databases
  9. Altmetric Badge
    Chapter 8 Faceted Browsing over Social Media
  10. Altmetric Badge
    Chapter 9 Analog Textual Entailment and Spectral Clustering (ATESC) Based Summarization
  11. Altmetric Badge
    Chapter 10 Economics of Gold Price Movement-Forecasting Analysis Using Macro-economic, Investor Fear and Investor Behavior Features
  12. Altmetric Badge
    Chapter 11 An Efficient Method of Building an Ensemble of Classifiers in Streaming Data
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    Chapter 12 I/O Efficient Algorithms for Block Hessenberg Reduction Using Panel Approach
  14. Altmetric Badge
    Chapter 13 Luring Conditions and Their Proof of Necessity through Mathematical Modelling
  15. Altmetric Badge
    Chapter 14 Efficient Recommendation for Smart TV Contents
  16. Altmetric Badge
    Chapter 15 Materialized View Selection Using Simulated Annealing
Attention for Chapter 5: Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?
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Chapter title
Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?
Chapter number 5
Book title
Big Data Analytics
Published in
Lecture notes in computer science, December 2012
DOI 10.1007/978-3-642-35542-4_5
Book ISBNs
978-3-64-235541-7, 978-3-64-235542-4
Authors

Rajeev Gupta, Himanshu Gupta, Mukesh Mohania

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
Brazil 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Taiwan 1 <1%
United States 1 <1%
Unknown 148 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 28%
Student > Master 29 19%
Student > Bachelor 17 11%
Student > Postgraduate 11 7%
Student > Doctoral Student 10 6%
Other 21 14%
Unknown 23 15%
Readers by discipline Count As %
Computer Science 70 45%
Business, Management and Accounting 14 9%
Engineering 12 8%
Social Sciences 8 5%
Economics, Econometrics and Finance 6 4%
Other 15 10%
Unknown 30 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2017.
All research outputs
#15,454,502
of 22,965,074 outputs
Outputs from Lecture notes in computer science
#4,659
of 8,137 outputs
Outputs of similar age
#182,996
of 282,003 outputs
Outputs of similar age from Lecture notes in computer science
#197
of 331 outputs
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So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 331 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.