東華大學圖書館 |

Web services : = concepts, methodologies, tools, and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Web services :/ Information Resources Management Association, editor.
其他題名:	concepts, methodologies, tools, and applications
出版者:	Hershey, Pennsylvania :IGI Global, : 2019.,
面頁冊數:	1 online resource (4 v.)
內容註:	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: challenges, recommendations and solutions ; 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: big data analytics in bioinformatics ; 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: a study of transport company ; Chapter 11. Knowledge discovery and big data analytics: issues, challenges, and opportunities -- 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: best practices in Italian municipalities ; 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: understanding 'big data' to boost teaching and learning in science and mathematics ; Chapter 23. Data, information, and knowledge: developing an intangible assets strategy ; 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: an empirical study ; 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: a process model for sense making under uncertainty ; 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: the use of web scraping for collecting price data ; Chapter 41. Predictive analysis for digital marketing using big data: big data for predictive analysis ; Chapter 42. Biometric: authentication and service to cloud ; Chapter 43. On the effectiveness of hybrid canopy with hoeffding adaptive naive bayes trees: distributed data mining for big data analytics ; Chapter 44. The full knowledge of big data in the integration of inter-organizational information: an approach focused on decision making ; Chapter 45. Self-adaptive QoS-aware web service discovery using ontology approach ; Chapter 46. Big data in healthcare and social sciences: Bip4Cast as a CAD system ; Chapter 47. A similarity measure across ontologies for web services discovery ; Chapter 48. Data analysis services related to the IoT and big data: strategic implications and business opportunities for third parties ; 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: Microsoft Azure ; 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: adopting old approaches to address new challenges ; Chapter 61. Comparison of graduates' and academics' perceptions of the skills required for big data analysis: statistics education in the age of big data ; Chapter 62. Cloud computing for rural ICT implementations: methods, models, and architectures ; Chapter 63. Vehicle to cloud: big data for environmental sustainability, energy, and traffic management ; Chapter 64. Big data analytics with service-oriented architecture ; Chapter 65. Analytics-as-a-service (AAAS): an elucidation to SOA ; Chapter 66. Big data and innovation in the delivery of public services: the case of predictive policing in Kent ; Chapter 67. Data science and big data analytics in financial services: a case study ; Chapter 68. Big data in higher education ; Chapter 69. Business applications of big data: considerations for not-for-profits ; 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: implications for medical and health care in low resource countries ; 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: Survey and future guidelines ; Chapter 78. Big data and predictive analysis is key to superior supply chain performance: a South African experience ; 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: a proposal of modelling big data strategies ; 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: from IT infrastructure abstraction of cloud computing to virtualization of network functions -- Section 6. Managerial impact. Chapter 92.
內容註:	Strategic management of data and challenges for organizations: strategy development and business value ; 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: security issues and strategies ; Chapter 96. Strategies for evaluating cloud system providers during the transformation of businesses ; Chapter 97. Impact of EU data protection laws on cloud computing: capturing cloud-computing challenges and fault lines ; Chapter 98. Quality measures for semantic web application ; Chapter 99. Cloud state surveillance: dark octopus tentacle clouds from the Atlantic ; 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: the paradigm shift from data protection towards data ownership ; Chapter 107. Strategic best-in-class performance for voice to customer: is big data in logistics a perfect match? ; Chapter 108. Unleashing artificial intelligence onto big data: a review ; 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: from metaphors to value space for collective wisdom in human decision making and smart machines ; Chapter 113. Marketing 4.0: enhancing consumer-brand engagement through big data analysis -- 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: challenges and future goals ; Chapter 116. Learning management system 2.0: higher education ; 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: status and directions.
標題:	Web services. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7501-6
ISBN:	9781522575023 (ebk.)

Web services : = concepts, methodologies, tools, and applications
Web services (Engineering Science Reference (Publisher))

Web services :concepts, methodologies, tools, and applications[electronic resource] /Information Resources Management Association, editor. - Hershey, Pennsylvania :IGI Global,2019. - 1 online resource (4 v.)

Includes bibliographical references and index.

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: challenges, recommendations and solutions ; 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: big data analytics in bioinformatics ; 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: a study of transport company ; Chapter 11. Knowledge discovery and big data analytics: issues, challenges, and opportunities -- 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: best practices in Italian municipalities ; 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: understanding 'big data' to boost teaching and learning in science and mathematics ; Chapter 23. Data, information, and knowledge: developing an intangible assets strategy ; 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: an empirical study ; 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: a process model for sense making under uncertainty ; 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: the use of web scraping for collecting price data ; Chapter 41. Predictive analysis for digital marketing using big data: big data for predictive analysis ; Chapter 42. Biometric: authentication and service to cloud ; Chapter 43. On the effectiveness of hybrid canopy with hoeffding adaptive naive bayes trees: distributed data mining for big data analytics ; Chapter 44. The full knowledge of big data in the integration of inter-organizational information: an approach focused on decision making ; Chapter 45. Self-adaptive QoS-aware web service discovery using ontology approach ; Chapter 46. Big data in healthcare and social sciences: Bip4Cast as a CAD system ; Chapter 47. A similarity measure across ontologies for web services discovery ; Chapter 48. Data analysis services related to the IoT and big data: strategic implications and business opportunities for third parties ; 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: Microsoft Azure ; 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: adopting old approaches to address new challenges ; Chapter 61. Comparison of graduates' and academics' perceptions of the skills required for big data analysis: statistics education in the age of big data ; Chapter 62. Cloud computing for rural ICT implementations: methods, models, and architectures ; Chapter 63. Vehicle to cloud: big data for environmental sustainability, energy, and traffic management ; Chapter 64. Big data analytics with service-oriented architecture ; Chapter 65. Analytics-as-a-service (AAAS): an elucidation to SOA ; Chapter 66. Big data and innovation in the delivery of public services: the case of predictive policing in Kent ; Chapter 67. Data science and big data analytics in financial services: a case study ; Chapter 68. Big data in higher education ; Chapter 69. Business applications of big data: considerations for not-for-profits ; 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: implications for medical and health care in low resource countries ; 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: Survey and future guidelines ; Chapter 78. Big data and predictive analysis is key to superior supply chain performance: a South African experience ; 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: a proposal of modelling big data strategies ; 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: from IT infrastructure abstraction of cloud computing to virtualization of network functions -- Section 6. Managerial impact. Chapter 92.

Restricted to subscribers or individual electronic text purchasers.

"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"--

ISBN: 9781522575023 (ebk.)Subjects--Topical Terms:

572482
Web services.

LC Class. No.: TK5105.88813 / .W339 2019

Dewey Class. No.: 004/.36

Web services : = concepts, methodologies, tools, and applications
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245 1 0 $a Web services : $b concepts, methodologies, tools, and applications $h [electronic resource] / $c Information Resources Management Association, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2019.
300 $a 1 online resource (4 v.)
504 $a Includes bibliographical references and index.
505 0 $a 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: challenges, recommendations and solutions ; 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: big data analytics in bioinformatics ; 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: a study of transport company ; Chapter 11. Knowledge discovery and big data analytics: issues, challenges, and opportunities -- 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: best practices in Italian municipalities ; 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: understanding 'big data' to boost teaching and learning in science and mathematics ; Chapter 23. Data, information, and knowledge: developing an intangible assets strategy ; 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: an empirical study ; 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: a process model for sense making under uncertainty ; 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: the use of web scraping for collecting price data ; Chapter 41. Predictive analysis for digital marketing using big data: big data for predictive analysis ; Chapter 42. Biometric: authentication and service to cloud ; Chapter 43. On the effectiveness of hybrid canopy with hoeffding adaptive naive bayes trees: distributed data mining for big data analytics ; Chapter 44. The full knowledge of big data in the integration of inter-organizational information: an approach focused on decision making ; Chapter 45. Self-adaptive QoS-aware web service discovery using ontology approach ; Chapter 46. Big data in healthcare and social sciences: Bip4Cast as a CAD system ; Chapter 47. A similarity measure across ontologies for web services discovery ; Chapter 48. Data analysis services related to the IoT and big data: strategic implications and business opportunities for third parties ; 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: Microsoft Azure ; 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: adopting old approaches to address new challenges ; Chapter 61. Comparison of graduates' and academics' perceptions of the skills required for big data analysis: statistics education in the age of big data ; Chapter 62. Cloud computing for rural ICT implementations: methods, models, and architectures ; Chapter 63. Vehicle to cloud: big data for environmental sustainability, energy, and traffic management ; Chapter 64. Big data analytics with service-oriented architecture ; Chapter 65. Analytics-as-a-service (AAAS): an elucidation to SOA ; Chapter 66. Big data and innovation in the delivery of public services: the case of predictive policing in Kent ; Chapter 67. Data science and big data analytics in financial services: a case study ; Chapter 68. Big data in higher education ; Chapter 69. Business applications of big data: considerations for not-for-profits ; 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: implications for medical and health care in low resource countries ; 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: Survey and future guidelines ; Chapter 78. Big data and predictive analysis is key to superior supply chain performance: a South African experience ; 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: a proposal of modelling big data strategies ; 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: from IT infrastructure abstraction of cloud computing to virtualization of network functions -- Section 6. Managerial impact. Chapter 92.
505 0 $a Strategic management of data and challenges for organizations: strategy development and business value ; 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: security issues and strategies ; Chapter 96. Strategies for evaluating cloud system providers during the transformation of businesses ; Chapter 97. Impact of EU data protection laws on cloud computing: capturing cloud-computing challenges and fault lines ; Chapter 98. Quality measures for semantic web application ; Chapter 99. Cloud state surveillance: dark octopus tentacle clouds from the Atlantic ; 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: the paradigm shift from data protection towards data ownership ; Chapter 107. Strategic best-in-class performance for voice to customer: is big data in logistics a perfect match? ; Chapter 108. Unleashing artificial intelligence onto big data: a review ; 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: from metaphors to value space for collective wisdom in human decision making and smart machines ; Chapter 113. Marketing 4.0: enhancing consumer-brand engagement through big data analysis -- 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: challenges and future goals ; Chapter 116. Learning management system 2.0: higher education ; 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: status and directions.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "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"-- $c Provided by publisher.
650 0 $a Web services. $3 572482
710 2 $a Information Resources Management Association. $3 958899
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7501-6