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Titlebook: Digital Transformation for a Sustainable Society in the 21st Century; 18th IFIP WG 6.11 Co Ilias O. Pappas,Patrick Mikalef,Matti M?ntym?ki

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書目名稱Digital Transformation for a Sustainable Society in the 21st Century
副標(biāo)題18th IFIP WG 6.11 Co
編輯Ilias O. Pappas,Patrick Mikalef,Matti M?ntym?ki
視頻videohttp://file.papertrans.cn/280/279816/279816.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Digital Transformation for a Sustainable Society in the 21st Century; 18th IFIP WG 6.11 Co Ilias O. Pappas,Patrick Mikalef,Matti M?ntym?ki
描述.This book constitutes the proceedings of the 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, held in Trondheim, Norway, in September 2019...The total of 61 full and 4 short papers presented in this volume were carefully reviewed and selected from 138 submissions. The papers were organized in topical sections named: e-business; big data analytics, open science and open data; artificial intelligence and internet of things; smart cities and smart homes, social media and analytics; digital governance; digital divide and social inclusion; learning and education; security in digital environments; modelling and managing the digital enterprise; digital innovation and business transformation; and online communities.?.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; authentication; cloud computing; data security; e-government; e-learning; educati
版次1
doihttps://doi.org/10.1007/978-3-030-29374-1
isbn_softcover978-3-030-29373-4
isbn_ebook978-3-030-29374-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightIFIP International Federation for Information Processing 2019
The information of publication is updating

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0302-9743 cation; security in digital environments; modelling and managing the digital enterprise; digital innovation and business transformation; and online communities.?.978-3-030-29373-4978-3-030-29374-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Improving the Accuracy of Magnetic Sensorser human or machine-based methods for detecting fraud – provided the most salient features are chosen. Our process has implications for fraud detection across numerous domains, such as financial statements, insurance claims, and reporting clinical trials.
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Modelling Electromagnetic Field Sensors that build up the five components. We apply this index to all African countries which yields, amongst others, country rankings that show relatively high BDRI levels for coastal countries such as South Africa, Kenya and Namibia as well as for islands such as Mauritius. Limitations and further development of the BDRI are discussed.
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https://doi.org/10.1007/978-3-319-09617-9ng study will offer the basis for a reflection process among the researchers in this field and will allow us to develop a research agenda and roadmap of big data and its applications leading to social change.
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