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Title: Web services: concepts, methodologies, tools, and applications
Organization: Information Resources Management Association,
Collection: Электронные книги зарубежных издательств; Общая коллекция
Subjects: Web services.; COMPUTERS / Computer Literacy; COMPUTERS / Computer Science; COMPUTERS / Data Processing; COMPUTERS / Hardware / General; COMPUTERS / Information Technology; COMPUTERS / Machine Theory; COMPUTERS / Reference; EBSCO eBooks
Document type: Other
File type: PDF
Language: English
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Record key: on1066115289

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"This book is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web"--.

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Table of Contents

  • Title Page
  • Copyright Page
  • List of Contributors
  • Table of Contents
  • Preface
  • Section 1: Fundamental Concepts and Theories
    • Chapter 1: The Basics of Big Data and Security Concerns
    • Chapter 2: An Overview of Big Data Security With Hadoop Framework
    • Chapter 3: Big Data Security
    • Chapter 4: Defining, Understanding, and Addressing Big Data
    • Chapter 5: A Critical Review of the Big-Data Paradigm
    • Chapter 6: Data Mining, Big Data, Data Analytics
    • Chapter 7: Big Data Models and the Public Sector
    • Chapter 8: Semantic Web, Ontology, and Linked Data
    • Chapter 9: Big Data on E-Government
    • Chapter 10: Role of Operations Strategy and Big Data
    • Chapter 11: Knowledge Discovery and Big Data Analytics
  • Section 2: Development and Design Methodologies
    • Chapter 12: Analytics in Public Policy Related to Service Sector
    • Chapter 13: Sustainable Business Transformation in Supply Chains
    • Chapter 14: Collaborative and Clustering Based Strategy in Big Data
    • Chapter 15: Big Data Security Framework for Distributed Cloud Data Centers
    • Chapter 16: A Resource Allocation Model for Desktop Clouds
    • Chapter 17: Sustainable Cloud Computing Frameworks for E-Government
    • Chapter 18: Descriptive and Predictive Analytical Methods for Big Data
    • Chapter 19: Big Data in Cloud Computing Environment for Market Trends
    • Chapter 20: Design Challenges of Cloud Computing
    • Chapter 21: Big Data Analytics in Health Care
    • Chapter 22: Data Literacy and Citizenship
    • Chapter 23: Data, Information, and Knowledge
    • Chapter 24: Big Data Mining Based on Computational Intelligence and Fuzzy Clustering
    • Chapter 25: Decision-Making With Big Data Using Open Source Business Intelligence Systems
    • Chapter 26: Exploring the Usage of Big Data Analytical Tools in Telecommunication Industry in Oman
    • Chapter 27: A Synergetic Model for Implementing Big Data in Organizations
    • Chapter 28: Disease Surveillance System for Big Climate Data Processing and Dengue Transmission
    • Chapter 29: Efficiency and Risk Management Models for Cloud-Based Solutions in Supply Chain Management
    • Chapter 30: A Decentralized Framework for Semantic Web Services Discovery Using Mobile Agent
    • Chapter 31: Shifting Perspectives
    • Chapter 32: Discovery Mechanism for Learning Semantic Web Service
    • Chapter 33: Cloud Computing for Secure Services in E-Government Architecture
    • Chapter 34: Proposal of Analytical Model for Business Problems Solving in Big Data Environment
    • Chapter 35: A Specification Framework for Big Data Initiatives
    • Chapter 36: Supply Chain Coordination Based on Web Service
    • Chapter 37: Discovering Knowledge Hidden in Big Data From Machine-Learning Techniques
  • Section 3: Tools and Technologies
    • Chapter 38: Big Data Mining Using Collaborative Filtering
    • Chapter 39: Evaluation of Cloud System Success Factors in Supply-Demand Chains
    • Chapter 40: Big Data Techniques for Supporting Official Statistics
    • Chapter 41: Predictive Analysis for Digital Marketing Using Big Data
    • Chapter 42: Biometric
    • Chapter 43: On the Effectiveness of Hybrid Canopy With Hoeffding Adaptive Naive Bayes Trees
    • Chapter 44: The Full Knowledge of Big Data in the Integration of Inter-Organizational Information
    • Chapter 45: Self-Adaptive QoS-Aware Web Service Discovery Using Ontology Approach
    • Chapter 46: Big Data in Healthcare and Social Sciences
    • Chapter 47: A Similarity Measure Across Ontologies for Web Services Discovery
    • Chapter 48: Data Analysis Services Related to the IoT and Big Data
    • Chapter 49: An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition
    • Chapter 50: Big Data Virtualization and Visualization on Cloud
    • Chapter 51: Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform
    • Chapter 52: Affordances of Data Science in Agriculture, Manufacturing, and Education
    • Chapter 53: Mobile Cloud Resource Management
    • Chapter 54: H.265 Video Streaming in Mobile Cloud Networks
    • Chapter 55: Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things
    • Chapter 56: Knowledge Representation Technologies Using Semantic Web
  • Section 4: Utilization and Applications
    • Chapter 57: Big Data Optimization for Customer Discounts in Cloud Computing Environment
    • Chapter 58: Big Data in Operation Management
    • Chapter 59: Big Data Analytics for Childhood Pneumonia Monitoring
    • Chapter 60: Teaching Visualisation in the Age of Big Data
    • Chapter 61: Comparison of Graduates' and Academics' Perceptions of the Skills Required for Big Data Analysis
    • Chapter 62: Cloud Computing for Rural ICT Implementations
    • Chapter 63: Vehicle to Cloud
    • Chapter 64: Big Data Analytics With Service-Oriented Architecture
    • Chapter 65: Analytics-as-a-Service (AaaS)
    • Chapter 66: Big Data and Innovation in the Delivery of Public Services
    • Chapter 67: Data Science and Big Data Analytics in Financial Services
    • Chapter 68: Big Data in Higher Education
    • Chapter 69: Business Applications of Big Data
    • Chapter 70: Big Data Transforming Small and Medium Enterprises
    • Chapter 71: Biometric Authentication for the Cloud Computing
    • Chapter 72: A New Approach in Cloud Computing User Authentication
    • Chapter 73: Big Data and Healthcare
    • Chapter 74: Semantic Technologies and Big Data Analytics for Cyber Defence
    • Chapter 75: Drivers of Cloud Computing Adoption for E-Government Services Implementation
    • Chapter 76: Software-Defined Networking for Scalable Cloud-Based Services to Improve System Performance of Hadoop-Based Big Data Applications
    • Chapter 77: Web Services Description and Discovery for Mobile Crowdsensing
    • Chapter 78: Big Data and Predictive Analysis Is Key to Superior Supply Chain Performance
    • Chapter 79: Autonomic Execution of Web Service Composition Using AI Planning Method
    • Chapter 80: Search of Web Service Based on Weighted Association Rule
    • Chapter 81: A Hybrid Cloud Model for Cloud Adoption by Multinational Enterprises
    • Chapter 82: Need of Hadoop and Map Reduce for Processing and Managing Big Data
    • Chapter 83: Evolution of Cloud in Big Data With Hadoop on Docker Platform
    • Chapter 84: Differential Privacy Approach for Big Data Privacy in Healthcare
    • Chapter 85: Big Data Analytics for Predictive Maintenance Strategies
  • Section 5: Organizational and Social Implications
    • Chapter 86: A Survey Study of Smartphones Behavior in Brunei
    • Chapter 87: Benefits and Challenges for BPM in the Cloud
    • Chapter 88: A Survey of Cloud-Based Services Leveraged by Big Data Applications
    • Chapter 89: Handling Critical Issues of Big Data on Cloud
    • Chapter 90: Opportunities and Challenges of Big Data in Public Sector
    • Chapter 91: Virtualization Evolution
  • Section 6: Managerial Impact
    • Chapter 92: Strategic Management of Data and Challenges for Organizations
    • Chapter 93: ZAMREN Big Data Management (ZAMBiDM) Envisaging Efficiency and Analytically Manage IT Resources
    • Chapter 94: Management of SME's Semi Structured Data Using Semantic Technique
    • Chapter 95: Cloud Adoption in Enterprises
    • Chapter 96: Strategies for Evaluating Cloud System Providers During the Transformation of Businesses
    • Chapter 97: Impact of EU Data Protection Laws on Cloud Computing
    • Chapter 98: Quality Measures for Semantic Web Application
    • Chapter 99: Cloud State Surveillance
    • Chapter 100: Cloud Computing Economics
    • Chapter 101: Promoting Social and Solidarity Economy Through Big Data
    • Chapter 102: Intelligent Management and Efficient Operation of Big Data
    • Chapter 103: Modelling the Dynamics of Trust Across a Cloud Brokerage Environment
    • Chapter 104: Exploring Information Security Governance in Cloud Computing Organisation
    • Chapter 105: Big Data From Management Perspective
  • Section 7: Critical Issues and Challenges
    • Chapter 106: Legal Responses to the Commodification of Personal Data in the Era of Big Data
    • Chapter 107: Strategic Best-in-Class Performance for Voice to Customer
    • Chapter 108: Unleashing Artificial Intelligence Onto Big Data
    • Chapter 109: Cloud Security Using Face Recognition
    • Chapter 110: Survey Paper on Semantic Web
    • Chapter 111: Analysis of Grievances in the Banking Sector through Big Data
    • Chapter 112: Big Data and Data Analytics Research
    • Chapter 113: Marketing 4.0
  • Section 8: Emerging Trends
    • Chapter 114: Security and Privacy Issues of Big Data
    • Chapter 115: Computational Systems Biology Perspective on Tuberculosis in Big Data Era
    • Chapter 116: Learning Management System 2.0
    • Chapter 117: A Hybrid Approach to Big Data Systems Development
    • Chapter 118: Application of Big Data in Economic Policy
    • Chapter 119: The Library Big Data Research
  • Index

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