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Advances in Big Data and Cloud Computing

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Cover of 'Advances in Big Data and Cloud Computing'

Table of Contents

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    Book Overview
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    Chapter 1 An Ontology-Based Approach for Automatic Cloud Service Monitoring and Management
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    Chapter 2 Incorporating Collaborative Tagging in Social Recommender Systems
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    Chapter 3 Twitter Sentimental Analysis on Fan Engagement
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    Chapter 4 A Hybrid Semantic Algorithm for Web Image Retrieval Incorporating Ontology Classification and User-Driven Query Expansion
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    Chapter 5 Attribute Selection Based on Correlation Analysis
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    Chapter 6 Taxi Travel Time Prediction Using Ensemble-Based Random Forest and Gradient Boosting Model
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    Chapter 7 Virtual Machine Migration—A Perspective Study
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    Chapter 8 Anomaly Detection in MapReduce Using Transformation Provenance
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    Chapter 9 Evaluation of MapReduce-Based Distributed Parallel Machine Learning Algorithms
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    Chapter 10 TSED: Top-k Ranked Searchable Encryption for Secure Cloud Data Storage
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    Chapter 11 An Efficient Forward Secure Authenticated Encryption Scheme with Ciphertext Authentication Based on Two Hard Problems
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    Chapter 12 Clustered Queuing Model for Task Scheduling in Cloud Environment
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    Chapter 13 Static and Dynamic Analysis for Android Malware Detection
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    Chapter 14 Performance Analysis of Statistical-Based Pixel Purity Index Algorithms for Endmember Extraction in Hyperspectral Imagery
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    Chapter 15 A Multimedia Cloud Framework to Guarantee Quality of Experience (QoE) in Live Streaming
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    Chapter 16 Spectral Band Subsetting for the Accurate Mining of Two Target Classes from the Remotely Sensed Hyperspectral Big Data
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    Chapter 17 Semantic-Based Sensitive Topic Dissemination Control Mechanism for Safe Social Networking
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    Chapter 18 A Random Fourier Features based Streaming Algorithm for Anomaly Detection in Large Datasets
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    Chapter 19 SBKMEDA: Sorting-Based K-Median Clustering Algorithm Using Multi-Machine Technique for Big Data
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    Chapter 20 Cohesive Sub-network Mining in Protein Interaction Networks Using Score-Based Co-clustering with MapReduce Model (MR-CoC)
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    Chapter 21 Design and Development of Hybridized DBSCAN-NN Approach for Location Prediction to Place Water Treatment Plant
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    Chapter 22 Coupling on Method Call Metric—A Cognitive Approach
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    Chapter 23 An Intrusion Detection System Using Correlation, Prioritization and Clustering Techniques to Mitigate False Alerts
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    Chapter 24 Performance Analysis of Clustering-Based Routing Protocols for Wireless Sensor Networks
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    Chapter 25 A Secure Encryption Scheme Based on Certificateless Proxy Signature
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    Chapter 26 A Two-Stage Queue Model for Context-Aware Task Scheduling in Mobile Multimedia Cloud Environments
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    Chapter 27 Degree of Match-Based Hierarchical Clustering Technique for Efficient Service Discovery
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    Chapter 28 Providing Confidentiality for Medical Image—An Enhanced Chaotic Encryption Approach
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    Chapter 29 A Novel Node Collusion Method for Isolating Sinkhole Nodes in Mobile Ad Hoc Cloud
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    Chapter 30 Asymmetric Addition Chaining Cryptographic Algorithm (ACCA) for Data Security in Cloud
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    Chapter 31 Improved Key Generation Scheme of RSA (IKGSR) Algorithm Based on Offline Storage for Cloud
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    Chapter 32 Multi-QoS and Interference Concerned Reliable Routing in Military Information System
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    Chapter 33 A Secure Cloud Data Storage Combining DNA Structure and Multi-aspect Time-Integrated Cut-off Potential
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    Chapter 34 Enhanced Secure Sharing of PHRs in Cloud Using Attribute-Based Encryption and Signature with Keyword Search
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    Chapter 35 Grey Wolf Optimization-Based Big Data Analytics for Dengue Outbreak Prediction
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    Chapter 36 Design of Smart Traffic Signal System Using Internet of Things and Genetic Algorithm
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    Chapter 37 An Innovated SIRS Model for Information Spreading
Overall attention for this book and its chapters
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Mentioned by

peer_reviews
1 peer review site

Readers on

mendeley
64 Mendeley
Summary Peer reviews
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Title
Advances in Big Data and Cloud Computing
Published by
Springer Singapore, May 2018
DOI 10.1007/978-981-10-7200-0
ISBNs
978-9-81-107199-7, 978-9-81-107200-0
Editors

Rajsingh, Elijah Blessing, Veerasamy, Jey, Alavi, Amir H., Peter, J. Dinesh

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 28%
Student > Ph. D. Student 13 20%
Lecturer 5 8%
Student > Bachelor 5 8%
Researcher 2 3%
Other 5 8%
Unknown 16 25%
Readers by discipline Count As %
Computer Science 33 52%
Engineering 4 6%
Business, Management and Accounting 3 5%
Agricultural and Biological Sciences 1 2%
Social Sciences 1 2%
Other 3 5%
Unknown 19 30%

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