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Big Data Applications and Services 2017

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Cover of 'Big Data Applications and Services 2017'

Table of Contents

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    Book Overview
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    Chapter 1 3D Volume Visualization System Based on GPUs for Medical Big Data
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    Chapter 2 A Fire Flame Simulation Scheme with Massively Parallel Processing
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    Chapter 3 A Framework for Calculating Damages of Personal Information Leakage Accidents
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    Chapter 4 A Hierarchical Structure for Representing 3D Respiration Organ Models
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    Chapter 5 An Effective Method for Detecting Outlying Regions in a 2-Dimensional Array
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    Chapter 6 An Effective Recall-Oriented Information Retrieval System Evaluation
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    Chapter 7 Chentry: Automated Evaluation of Students’ Learning Progress for Entry Education Software
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    Chapter 8 Constrained Big Data Mining in an Edge Computing Environment
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    Chapter 9 Constrained Frequent Pattern Mining from Big Data Via Crowdsourcing
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    Chapter 10 Data-Driven Prediction of Ship Destinations in the Harbor Area Using Deep Learning
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    Chapter 11 Design and Implementation of a Sunshine Duration Calculation System with Massively Parallel Processing
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    Chapter 12 Developing 3D Annotation Features for 3D Digital Textbooks
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    Chapter 13 Efficient Mining of Time Interval-Based Association Rules
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    Chapter 14 Investigating the Role of Musical Genre in Human Perception of Music Stretching Resistance
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    Chapter 15 Keyword-Based Metadata Modeling for Experimental Omics Data Dissemination
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    Chapter 16 Nonlinear Time-series Mining of Social Influence
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    Chapter 17 PEGASEF: A Provenance-Based Big Data Service Framework for Efficient Simulation Execution on Shared Computing Clusters
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    Chapter 18 Preference-Aware Music Recommendation Using Song Lyrics
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    Chapter 19 Real-Time Smart Safe-Return-Home Service Based on Big Data Analytics
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Title
Big Data Applications and Services 2017
Published by
Springer Singapore, August 2018
DOI 10.1007/978-981-13-0695-2
ISBNs
978-9-81-130694-5, 978-9-81-130695-2
Editors

Lee, Wookey, Leung, Carson K.

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Postgraduate 1 25%
Unknown 1 25%
Readers by discipline Count As %
Mathematics 1 25%
Engineering 1 25%
Unknown 2 50%