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Cloud Computing for Geospatial Big Data Analytics

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Cover of 'Cloud Computing for Geospatial Big Data Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects
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    Chapter 2 Trust Model Based Scheduling of Stochastic Workflows in Cloud and Fog Computing
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    Chapter 3 Trust-Based Access Control in Cloud Computing Using Machine Learning
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    Chapter 4 Cloud Security Ontology (CSO)
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    Chapter 5 Cloud Based Supply Chain Networks—Principles and Practices
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    Chapter 6 Parallel Computation of a MMDBM Algorithm on GPU Mining with Big Data
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    Chapter 7 Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities
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    Chapter 8 A New and Secure Intrusion Detecting System for Detection of Anomalies Within the Big Data
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    Chapter 9 Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential
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    Chapter 10 Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network
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    Chapter 11 The Role of Geospatial Technology with IoT for Precision Agriculture
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    Chapter 12 Design Thinking on Geo Spatial Climate for Thermal Conditioning: Application of Big Data Through Intelligent Technology
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    Chapter 13 Hyperspectral Remote Sensing Images and Supervised Feature Extraction
Attention for Chapter 2: Trust Model Based Scheduling of Stochastic Workflows in Cloud and Fog Computing
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