| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 杜威分類號: |
004/.36 |
| 書名/作者: |
Web services : : concepts, methodologies, tools, and applications/ Information Resources Management Association, editor. |
| 出版者: |
Hershey, Pennsylvania : : IGI Global,, 2019. |
| 面頁冊數: |
1 online resource (4 v.) |
| 標題: |
Web services. |
| ISBN: |
9781522575023 (ebk.) |
| ISBN: |
9781522575016 (hbk.) |
| 書目註: |
Includes bibliographical references and index. |
| 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. |
| 摘要、提要註: |
"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"-- |
| 電子資源: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7501-6 |