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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 Scalable Analytics – Algorithms and Systems
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    Chapter 2 Big-Data – Theoretical, Engineering and Analytics Perspective
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    Chapter 3 A Comparison of Statistical Machine Learning Methods in Heartbeat Detection and Classification
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    Chapter 4 Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases
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    Chapter 5 Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?
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    Chapter 6 A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education
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    Chapter 7 Exploiting Schema and Documentation for Summarizing Relational Databases
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    Chapter 8 Faceted Browsing over Social Media
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    Chapter 9 Analog Textual Entailment and Spectral Clustering (ATESC) Based Summarization
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    Chapter 10 Economics of Gold Price Movement-Forecasting Analysis Using Macro-economic, Investor Fear and Investor Behavior Features
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    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
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    Chapter 13 Luring Conditions and Their Proof of Necessity through Mathematical Modelling
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    Chapter 14 Efficient Recommendation for Smart TV Contents
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    Chapter 15 Materialized View Selection Using Simulated Annealing
Attention for Chapter 15: Materialized View Selection Using Simulated Annealing
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mendeley
11 Mendeley
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Chapter title
Materialized View Selection Using Simulated Annealing
Chapter number 15
Book title
Big Data Analytics
Published in
Lecture notes in computer science, December 2012
DOI 10.1007/978-3-642-35542-4_15
Book ISBNs
978-3-64-235541-7, 978-3-64-235542-4
Authors

T. V. Vijay Kumar, Santosh Kumar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Student > Postgraduate 2 18%
Student > Doctoral Student 1 9%
Student > Master 1 9%
Lecturer > Senior Lecturer 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 9 82%
Biochemistry, Genetics and Molecular Biology 1 9%
Unknown 1 9%